Summary

This chapter described the method to access pixel intensities at a particular location in Image. It is very useful when we are performing a pointwise operation on Images. The histogram is a very important global feature used to describe an Image. This chapter described the method to compute the histogram and the process of histogram equalization which improves the visual quality of an Image. A various geometric transformation like Image resizing, rotation and translation are explained in detail. Image filtering is a useful neighborhood processing technique used to eliminate noise and extracting edge features of an Image are described in detail. Low pass filter is used to remove noise but it will also blur out edges of an image. High pass filter removes the background which is low-frequency region while enhancing edges which are high-frequency regions. The last part of the chapter described different morphological operators like erosion, dilation, opening and closing which can be...