A primer in image processing

1 Computer vision Introduction Vision processes 2 Digital images Image acquisition and representation 3 Image enhancement Spatial Filtering Intensity transformations Image histograms and equalization Convolution filters Filtering in the frequency domain 4 Image restoration Degradation model Noise models Noise reduction Wiener filtering Blind Deconvolution 5 Image segmentation Thresholding Texture segmentation Region growing methods Edge detection Hough transform Active contours 6 Shape analysis 7 Conclusions