Summary

In this chapter, we started with initial image analysis by applying various manipulation. We began discussion with point filters and extending to more complex linear as well as non linear filters. We saw the visualization of results on varying parameters like kernel size, and so on. The non-linear filters, like histogram equalization, can further tune images which are difficult to do with linear filters. Image gradients, introduced in this chapter, are quite common in complex tasks of object detection, image segmentation, and so on. We also saw various transformation methods like translation, rotation and affine transformation with visualization of the output given different choice of parameters. The various transformations can applied in cascaded fashion to create combined transformed results. Lastly, image downsampling and upsampling method is introduced which has crucial...