An image can be defined as a two demensional function f(x,y), where x and y are spatial coordinates, and amplitude of f at any pair of coordinates (x,y) is known as intensity or gray level of that point. When x,y and amplitude f are all finite, discrete quantities, we call the image as digital image. The field of digital image processing refers to processing of digital image using digitall computers.
- Image Aquisition
- Image Enhancement
- Image Restoration
- Color Image Processing
- Wavelets
- Compression
- Morphological Operations
- Segmentation
- Representation and Description
- Recognition
- Finding Grayscale image, Red Component, Green Component, Blue Component, Negative of given image.
- Plot Histogram for given image.
- Perform histogram equalization to transform given low contrast image into high contrast image.
- Perform histogram matching: transformation of an image so that its histogram matches a specified output image's histogram.
- Gray Level Slicing
- Smoothing Filter
- Logical and Arithmetic Operations
- Contrast Streching
- Erosion Operation
- Dilation Operation
- Opening Operation
- Closing Operation
- Fingerprint Enhancement using Opening & Closing Operations
- Boundary Extraction
- Image Noise
- Plotting Signature
