Abstract

This chapter introduces linear spatial filters and visual patterns in digital images. Previously, the focus was manipulating the dynamic range to improve, sharpen and increase the contrast of image features. By contrast, image filtering is based on weighted sums of local neighbourhood pixel values. As a result, we obtain a means of removing image noise, sharpening image features (enhancing image appearance), and achieve edge and corner detection. A filtered image provides a workspace for the study of near sets and visual patterns in a digital image as well as different forms of uniform topologies in digital images.

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