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add: new functions, gui
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‎README.md

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# vectofil+
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A program to perform Basic Vector Directional Filtering for the noisy color images. This a project of Computer Vision and Image Processing course in West Pomeranian University of Technology.
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A program to perform Basic Vector Directional Filtering for the noisy colour images. This a project of Computer Vision and Image Processing course in West Pomeranian University of Technology.
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For the demostration, check out Results directory, or [see the GUI on YouTube](https://www.youtube.com/watch?v=pXBCrB0VlLY).
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For the demonstration, check out Results directory, or [see the GUI on YouTube](https://www.youtube.com/watch?v=pXBCrB0VlLY).
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### What we will add?
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- Save the output functionality.
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- Save the process as a PDF and PNGs functionality
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- Choosing the Vector Median Filtering or Basic Vector Directional Filtering process. Comperasion between two filters.
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- Percentage addition between VMF and BVDF.
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- Much more pretty UI!
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- Documentation for every function. Especially lots of comments on the file of BVDF_FILTER.
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- [ ] Save the output functionality.
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- [ ] Save the process as a PDF and PNGs functionality.
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- [x] Choosing the Vector Median Filtering or Basic Vector Directional Filtering process. Comperasion between two filters.
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- [x] Percentage addition between VMF and BVDF.
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- [x] Much more pretty UI!
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- [ ] Documentation for every function. Especially lots of comments on the file of BVDF_FILTER.
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### License
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This is a art of open source. Please make sure that you also create an open source for the public good.
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License: GNU v2
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‎results/Lenna-60Noise-3x3-BVDF-VMF-DDF-alsoDiff.fig

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‎results/Lenna-60Noise-3x3-BVDF-VMF-DDF-alsoDiff.pdf

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‎results/Lenna-VMF-BVDF-60.pdf

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‎src/API/bvdf_plot_vectors.m renamed to ‎src/API/3DVectorPlot.m

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function bvdf_plot_vectors(vectors, origin, ColorScheme)
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% BVDF_PLOT_VECTORS The function plots the 3D vectors in space.
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function 3DVectorPlot(vectors, origin, ColorScheme)
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% 3DVectorPlot The function plots the 3D vectors in space.
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% Only and first parameter is the matrix which every column is a vector.
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% Control if the optional arguments are given.
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end
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hold off;
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end
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end

‎src/API/bvdf_add_noise.m renamed to ‎src/API/AddPseudoNoise.m

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function noisy_img = bvdf_add_noise(image, perc, channel_size, assigned)
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function noisy_img = AddPseudoNoise(image, perc, channel_size, assigned)
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noisy_img = image;
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% Travel throught every pixel.
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end
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end
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end
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end
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end

‎src/API/bvdf_present.m renamed to ‎src/API/BVDF_Present.m

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‎src/API/bvdf_filter.m renamed to ‎src/API/BasicVectorDirectionalFilter.m

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function filtered_image = bvdf_filter(image, sample_dims)
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function filtered_image = BasicVectorDirectionalFilter(image, sample_dims)
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% BVDF_FILTER Function to filter the image according the BVDF rule.
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if nargin < 2
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error("You have to give the image as uint8 matrix, and dimensions of the vectoral process.");
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area2filter = im2double(area2filter).*255;
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vectors_list = reshape(area2filter , [], 3)';
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sorted_vectors = bvdf_sort_vectors(vectors_list);
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sorted_vectors = SortVectorsbyAngle(vectors_list);
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filtered_image(x_index, y_index, :) = sorted_vectors(:, 1);
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end
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end

‎src/API/ColorImageDifference.m

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% COLORIMAGEDIFFERENCE
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function [resultedImage, differentPixelCount] = ColorImageDifference(image1, image2)
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sizeImg1 = size(image1);
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sizeImg2 = size(image2);
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differentPixelCount = 0;
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if (sizeImg1 - sizeImg2) ~= zeros(1, 3)
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error("Given input images' sizes are not matched.");
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end
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resultedImage = zeros(sizeImg1);
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for rowPixel = 1:sizeImg1(1)
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for colPixel = 1:sizeImg1(2)
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if min(...
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image1(rowPixel, colPixel, :) == image2(rowPixel, colPixel, :)...
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) == 0
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resultedImage(rowPixel, colPixel, :) = [255, 255, 255]';
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differentPixelCount = differentPixelCount + 1;
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end
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end
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end
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end

‎src/API/DistanceDirectionalFilter.m

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function filtered_image = DistanceDirectionalFilter(corrupted_image, window_size, BVDFratio, yValueVMF)
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image_X = size(corrupted_image, 1);
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image_Y = size(corrupted_image, 2);
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filtered_image = zeros(size(corrupted_image));
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starting_points = [ceil(window_size/2), ceil(window_size/2)];
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choosing_distance = [floor(window_size/2), floor(window_size/2)];
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for x_index = starting_points(1):(image_X-starting_points(1))
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for y_index = starting_points(2):(image_Y-starting_points(2))
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area2filter = corrupted_image(x_index-choosing_distance(1):x_index+choosing_distance(2),...
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y_index-choosing_distance(2):y_index+choosing_distance(2), :);
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area2filter = im2double(area2filter).*255;
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vectors_list = reshape(area2filter , [], 3)';
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% Sorting Process
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% In here, one array of vectors is created. First row will give
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% us the distances calculated with VMF, second row will give us
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% the angles calculated with BVDF. That's why there is "+2".
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calculations = zeros(size(vectors_list, 1) + 3, size(vectors_list, 2));
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calculations(4:end, :) = vectors_list;
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for index = 1:size(vectors_list, 2)
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for jndex = 1:size(vectors_list, 2)
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% For each pixel, we are choosing the window-size of
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% pixels, and calculate the angles and distances from
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% them.
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vectA = vectors_list(:, index);
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vectB = vectors_list(:, jndex);
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if vectA == vectB
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continue;
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end
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% BVDF method for window-sized vectors.
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calculations(3, index) = calculations(2, index) + ...
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acosd(dot(vectA, vectB) / (norm(vectA) * norm(vectB)));
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% VMF method for window-sized vectors with Euclodien distances.
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colorRed = (vectA(1) - vectB(1)).^(yValueVMF);
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colorGreen = (vectA(2) - vectB(2)).^(yValueVMF);
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colorBlue = (vectA(3) - vectB(3)).^(yValueVMF);
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VMF_distance = (colorRed + colorGreen + colorBlue).^(1/yValueVMF);
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calculations(2, index) = calculations(2, index) + VMF_distance;
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end
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end
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% Combination of VMF and BVDF: Distance Directional Filter
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calculations(1, :) = (calculations(3, :).^(BVDFratio)) .* (calculations(2, :).^(1-BVDFratio));
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% Sorting the vectors inside the window, with the rules of BVDF
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% and VMF.
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% [~, VMForder] = sort(calculations(2, :));
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% [~, BVDForder] = sort(calculations(3, :));
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% VMFSortedVects = calculations(3:end, VMForder);
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% BVDFSortedVects = calculations(3:end, BVDForder);
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% VMF_Vector = VMFSortedVects(:, 1);
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% BVDF_Vector = BVDFSortedVects(:, 1);
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[~, DDForder] = sort(calculations(1, :));
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DDFSortedVects = calculations(4:end, DDForder);
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DDF_Vector = DDFSortedVects(:, 1);
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filtered_image(x_index, y_index, :) = DDF_Vector;
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end
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end
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filtered_image = cast(filtered_image, 'uint8');
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end

‎src/API/bvdf_sort_vectors.m renamed to ‎src/API/SortVectorsbyAngle.m

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function [sorted_vectors, sorted_angles] = bvdf_sort_vectors(vectors)
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function [sorted_vectors, sorted_angles] = SortVectorsbyAngle(vectors)
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% BVDF_VECTOR_SORT A function to sort the given n-dimensional vectors.
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% Parameter vectors has to be a matrix which every column represents a
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% vector. Function returns a vector, first element is the sorted vectors'

‎src/API/VMF_BVDF_Present.m

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function VMF_BVDF_Present(corrupted_image)
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vmf_result = VectorMedianFilter(corrupted_image, 3);
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bvdf_result = bvdf_filter(corrupted_image, 3);
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[diff_img, diff_img_count] = ColorImageDifference(vmf_result, bvdf_result);
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hybrid_result = VMF_BVDF_Combine(corrupted_image, 3);
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SameRatio = (size(corrupted_image, 1) .* size(corrupted_image, 2) - diff_img_count) ...
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/ (size(corrupted_image, 1) .* size(corrupted_image, 2));
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sprintf("Sameness Ratio: %d", SameRatio);
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tiledlayout(2,3)
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nexttile
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imshow(corrupted_image)
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title("Corrupted Image")
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nexttile
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imshow(vmf_result)
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title("VMF")
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nexttile
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imshow(bvdf_result)
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title("BVDF")
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nexttile
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imshow(diff_img)
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title("Img Diff")
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nexttile
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imshow(hybrid_result)
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title("Hybrid")
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end

‎src/API/VectofilPlus.prj

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<deployment-project plugin="plugin.ezdeploy" plugin-version="1.0">
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<configuration file="/media/pop49/Data/Projeler/Dersler/West Pomaranian University of Technology/Computer Vision and Image Processing/Basic Vector Directional Filters/VectofilPlus.prj" location="/media/pop49/Data/Projeler/Dersler/West Pomaranian University of Technology/Computer Vision and Image Processing/Basic Vector Directional Filters" name="VectofilPlus" target="target.ezdeploy.standalone" target-name="Application Compiler">
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<param.appname>VectofilPlus</param.appname>
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<param.icon />
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<param.icons />
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<param.version>1.0</param.version>
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<param.authnamewatermark>Gökhan Koçmarlı</param.authnamewatermark>
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<param.email>gokhankocmarli@gmail.com</param.email>
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<param.company>West Pomeranian University of Technology</param.company>
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<param.summary>A GUI based application to create noise, and filter color images with Basic Vector Directional Filters.</param.summary>
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<param.description />
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<param.screenshot />
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<param.guid />
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<param.installpath.string>/VectofilPlus/</param.installpath.string>
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<param.installpath.combo>option.installpath.user</param.installpath.combo>
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<param.logo />
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<param.install.notes />
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<param.target.install.notes>In the following directions, replace MR/v910 by the directory on the target machine where MATLAB is installed, or MR by the directory where the MATLAB Runtime is installed.
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(1) Set the environment variable XAPPLRESDIR to this value:
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MR/v910/X11/app-defaults
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(2) If the environment variable LD_LIBRARY_PATH is undefined, set it to the following:
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MR/v910/runtime/glnxa64:MR/v910/bin/glnxa64:MR/v910/sys/os/glnxa64:MR/v910/sys/opengl/lib/glnxa64
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If it is defined, set it to the following:
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${LD_LIBRARY_PATH}:MR/v910/runtime/glnxa64:MR/v910/bin/glnxa64:MR/v910/sys/os/glnxa64:MR/v910/sys/opengl/lib/glnxa64</param.target.install.notes>
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<param.intermediate>${PROJECT_ROOT}/VectofilPlus/for_testing</param.intermediate>
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<param.files.only>${PROJECT_ROOT}/VectofilPlus/for_redistribution_files_only</param.files.only>
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<param.output>${PROJECT_ROOT}/VectofilPlus/for_redistribution</param.output>
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<param.logdir>${PROJECT_ROOT}/VectofilPlus</param.logdir>
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<param.enable.clean.build>false</param.enable.clean.build>
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<param.user.defined.mcr.options />
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<param.target.type>subtarget.standalone</param.target.type>
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<param.support.packages />
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<param.web.mcr>true</param.web.mcr>
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<param.package.mcr>false</param.package.mcr>
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<param.no.mcr>false</param.no.mcr>
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<param.web.mcr.name>MyAppInstaller_web</param.web.mcr.name>
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<param.package.mcr.name>MyAppInstaller_mcr</param.package.mcr.name>
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<param.no.mcr.name>MyAppInstaller_app</param.no.mcr.name>
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<param.windows.command.prompt>false</param.windows.command.prompt>
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<param.create.log>false</param.create.log>
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<param.log.file />
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<param.native.matlab>false</param.native.matlab>
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<param.checkbox>false</param.checkbox>
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<param.example />
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<param.help.text>Syntax
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-?
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Input Arguments
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-? print help on how to use the application
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input arguments</param.help.text>
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<unset>
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<param.icon />
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<param.icons />
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<param.version />
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<param.description />
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<param.screenshot />
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<param.guid />
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<param.installpath.combo />
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<param.logo />
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<param.install.notes />
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<param.intermediate />
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<param.files.only />
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<param.output />
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<param.logdir />
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<param.enable.clean.build />
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<param.user.defined.mcr.options />
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<param.target.type />
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<param.support.packages />
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<param.web.mcr />
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<param.package.mcr />
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<param.no.mcr />
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<param.web.mcr.name />
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<param.package.mcr.name />
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<param.no.mcr.name />
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<param.windows.command.prompt />
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<param.create.log />
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<param.log.file />
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<param.native.matlab />
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<param.checkbox />
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<param.example />
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</unset>
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<fileset.main>
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<file>${PROJECT_ROOT}/GUI/vectofil.mlapp</file>
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</fileset.main>
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<fileset.resources />
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<fileset.package />
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<fileset.depfun />
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<build-deliverables>
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<file location="${PROJECT_ROOT}/VectofilPlus/for_testing" name="run_VectofilPlus.sh" optional="false">/media/pop49/Data/Projeler/Dersler/West Pomaranian University of Technology/Computer Vision and Image Processing/Basic Vector Directional Filters/VectofilPlus/for_testing/run_VectofilPlus.sh</file>
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<file location="${PROJECT_ROOT}/VectofilPlus/for_testing" name="VectofilPlus" optional="false">/media/pop49/Data/Projeler/Dersler/West Pomaranian University of Technology/Computer Vision and Image Processing/Basic Vector Directional Filters/VectofilPlus/for_testing/VectofilPlus</file>
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<file location="${PROJECT_ROOT}/VectofilPlus/for_testing" name="splash.png" optional="false">/media/pop49/Data/Projeler/Dersler/West Pomaranian University of Technology/Computer Vision and Image Processing/Basic Vector Directional Filters/VectofilPlus/for_testing/splash.png</file>
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<file location="${PROJECT_ROOT}/VectofilPlus/for_testing" name="readme.txt" optional="true">/media/pop49/Data/Projeler/Dersler/West Pomaranian University of Technology/Computer Vision and Image Processing/Basic Vector Directional Filters/VectofilPlus/for_testing/readme.txt</file>
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</build-deliverables>
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<workflow />
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<matlab>
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<root>/media/pop49/LinuxApps/MATLABR2021A</root>
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<toolboxes>
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<toolbox name="matlabcoder" />
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<toolbox name="embeddedcoder" />
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</toolboxes>
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<toolbox>
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<matlabcoder>
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<enabled>true</enabled>
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</matlabcoder>
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</toolbox>
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<toolbox>
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<embeddedcoder>
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<enabled>true</enabled>
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</embeddedcoder>
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</toolbox>
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</matlab>
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<platform>
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<unix>true</unix>
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<mac>false</mac>
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<windows>false</windows>
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<win2k>false</win2k>
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<winxp>false</winxp>
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<vista>false</vista>
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<linux>true</linux>
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<solaris>false</solaris>
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<osver>5.11.0-7620-generic</osver>
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<os32>false</os32>
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<os64>true</os64>
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<arch>glnxa64</arch>
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<matlab>true</matlab>
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</platform>
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</configuration>
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</deployment-project>

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