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local threshold binarize methods + refactoring
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,92 +1,102 @@ | ||
| """Global thresholding segmentations""" | ||
| """Gloabal thresholding binarize""" | ||
| import math | ||
| from PIL import PSDraw | ||
| def getHistogramRGB(img, size): | ||
| """ | ||
| @use: | ||
| img = Image.open(filepath) | ||
| img = img.convert(mode='RGB') | ||
| img = img.resize(size, Image.ANTIALIAS) | ||
| histogramR, histogramG, histogramB = get_histogramRGB(img, size) | ||
| """ | ||
| histogramR = [] | ||
| histogramG = [] | ||
| histogramB = [] | ||
| for i in range(256): | ||
| histogramR.append(0) | ||
| histogramG.append(0) | ||
| histogramB.append(0) | ||
| for i in range(size[0]): | ||
| for j in range(size[1]): | ||
| r, g, b = img.getpixel((i, j)) | ||
| histogramR[r] += 1 | ||
| histogramG[g] += 1 | ||
| histogramB[b] += 1 | ||
| histogram = [] | ||
| for i in range(256): | ||
| histogramR[i] /= size[0]*size[1] | ||
| histogramG[i] /= size[0]*size[1] | ||
| histogramB[i] /= size[0]*size[1] | ||
| return histogramR, histogramG, histogramB | ||
|
|
||
| def getAperturePosition(x, y, imgSize, i, j, filterSize): | ||
| pixelPosX = x + j - filterSize / 2 | ||
| pixelPosY = y + i - filterSize / 2 | ||
| if pixelPosX<0: | ||
| pixelPosX+=filterSize / 2 | ||
| if pixelPosY<0: | ||
| pixelPosY+=filterSize / 2 | ||
| if pixelPosX>imgSize[0] or pixelPosY>imgSize[1]: | ||
| return -1, -1 | ||
| if pixelPosX==imgSize[0]: | ||
| pixelPosX=imgSize[0] - (filterSize / 2)-1 | ||
| if pixelPosY==imgSize[1]: | ||
| pixelPosY=imgSize[1]-(filterSize / 2)-1 | ||
| return pixelPosX, pixelPosY | ||
| def getHistogram(pixels, size): | ||
| histogram = [] | ||
| for i in range(256): | ||
| histogram.append(0) | ||
| for i in range(size[0]): | ||
| for j in range(size[1]): | ||
| color = pixels[i, j] | ||
| histogram[color] += 1 | ||
| for i in range(256): | ||
| histogram[i] /= size[0]*size[1] | ||
| return histogram | ||
|
|
||
| def histogramPeak3(histogram, size, k): | ||
| k /= 256 | ||
| peak = [] | ||
| lastValue = 0 | ||
| maxVal = max(histogram) | ||
| for indx, v in enumerate(histogram): | ||
| if maxVal - v > k: | ||
| peak.append(indx-1) | ||
| return peak | ||
|
|
||
| # Bersen's method | ||
| def bernsen(img, imgSize, filterSize): | ||
| pixels = img.load() | ||
| for x in range(imgSize[0]): | ||
| for y in range(imgSize[1]): | ||
| minValue = 255 | ||
| maxValue = 0 | ||
| for i in range(filterSize): | ||
| for j in range(filterSize): | ||
| pixelPosX, pixelPosY = getAperturePosition(x, y, imgSize, i, j, filterSize) | ||
| if pixelPosX == -1 or pixelPosY == -1: | ||
| continue | ||
| if pixels[pixelPosX,pixelPosY] > maxValue: | ||
| maxValue = pixels[pixelPosX,pixelPosY] | ||
| if pixels[pixelPosX,pixelPosY] < minValue: | ||
| minValue = pixels[pixelPosX,pixelPosY] | ||
| avg = (minValue + maxValue) / 2 | ||
| for i in range(filterSize): | ||
| for j in range(filterSize): | ||
| pixelPosX, pixelPosY = getAperturePosition(x, y, imgSize, i, j, filterSize) | ||
| if pixelPosX == -1 or pixelPosY == -1: | ||
| continue | ||
| if pixels[pixelPosX,pixelPosY] < avg: | ||
| pixels[pixelPosX,pixelPosY] = 0 | ||
| else: | ||
| pixels[pixelPosX,pixelPosY] = 255 | ||
| img.show() | ||
| def otsuPeak(histogram, size, k): | ||
| peak = [] | ||
| lastValue = 0 | ||
| w1 = 0 | ||
| w2 = 0 | ||
| w = 0 | ||
| mu1 = 0 | ||
| mu2 = 0 | ||
| mu = 0 | ||
| for indx, v in enumerate(histogram): | ||
| if (indx <= k): | ||
| w1 += v | ||
| else: | ||
| w2 += v | ||
| for indx, v in enumerate(histogram): | ||
| value = indx*v | ||
| if (indx <= k): | ||
| mu1 += value/w1 | ||
| else: | ||
| mu2 += value/w2 | ||
| mu += (value/w1 + value/w2) | ||
| nu = (w1*w2*((mu2-mu1)**2))/(mu**2) | ||
| for indx, v in enumerate(histogram): | ||
| if v < nu: | ||
| peak.append(indx-1) | ||
| return peak | ||
|
|
||
| # Niblack`s method | ||
| def niblack(img, imgSize, filterSize): | ||
| k = 0.2 | ||
| pixels = img.load() | ||
| for x in range(imgSize[0]): | ||
| for y in range(imgSize[1]): | ||
| minValue = 255 | ||
| maxValue = 0 | ||
| for i in range(filterSize): | ||
| for j in range(filterSize): | ||
| pixelPosX, pixelPosY = getAperturePosition(x, y, imgSize, i, j, filterSize) | ||
| if pixelPosX == -1 or pixelPosY == -1: | ||
| continue | ||
| if pixels[pixelPosX,pixelPosY] > maxValue: | ||
| maxValue = pixels[pixelPosX,pixelPosY] | ||
| if pixels[pixelPosX,pixelPosY] < minValue: | ||
| minValue = pixels[pixelPosX,pixelPosY] | ||
| avg = (minValue + maxValue) / 2 | ||
| RMS = 0 | ||
| differenceSum = 0 | ||
| for i in range(filterSize): | ||
| for j in range(filterSize): | ||
| pixelPosX, pixelPosY = getAperturePosition(x, y, imgSize, i, j, filterSize) | ||
| if pixelPosX == -1 or pixelPosY == -1: | ||
| continue | ||
| differenceSum = (pixels[pixelPosX,pixelPosY] - avg) ** 2 | ||
| RMS += math.sqrt(differenceSum/filterSize) | ||
| # value = int(avg + k*RMS) | ||
| # for i in range(filterSize): | ||
| # for j in range(filterSize): | ||
| # pixelPosX, pixelPosY = getAperturePosition(x, y, imgSize, i, j, filterSize) | ||
| # if pixelPosX == -1 or pixelPosY == -1: | ||
| # continue | ||
| # pixels[pixelPosX,pixelPosY] = value | ||
| value = int(avg + k*RMS) | ||
| for i in range(filterSize): | ||
| for j in range(filterSize): | ||
| pixelPosX, pixelPosY = getAperturePosition(x, y, imgSize, i, j, filterSize) | ||
| if pixelPosX == -1 or pixelPosY == -1: | ||
| continue | ||
| if pixels[pixelPosX,pixelPosY] < value: | ||
| pixels[pixelPosX,pixelPosY] = 0 | ||
| else: | ||
| pixels[pixelPosX,pixelPosY] = 255 | ||
| img.show() | ||
| def histogramSegmentation(pixels, size, method, threshold): | ||
| """http://www.ijcset.net/docs/Volumes/volume2issue1/ijcset2012020103.pdf""" | ||
| # pixels = img.load() | ||
| histogram = getHistogram(pixels, size) | ||
| if method == 'otsu': | ||
| peak = otsuPeak(histogram, size, threshold) | ||
| for i in range(size[0]): | ||
| for j in range(size[1]): | ||
| if pixels[i, j] in peak: | ||
| pixels[i, j] = 255 | ||
| else: | ||
| pixels[i, j] = 0 | ||
| # img.show('histogramPeak') | ||
| if method == 'histPeakValue': | ||
| peak = histogramPeak3(histogram, size, threshold) | ||
| for i in range(size[0]): | ||
| for j in range(size[1]): | ||
| if pixels[i, j] in peak: | ||
| pixels[i, j] = 255 | ||
| else: | ||
| pixels[i, j] = 0 | ||
| # img.show('histogramPeak3') |
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