Image Enhancement and Analysis
In this chapter we begin by looking at some simple image processing filters. Then we will use some of them for image enhancement, generaly taken to mean improving the image in some sense, such as less noise, sharp edges, good contrast, etc. Then we move on to the problem of image analysis, meaning the extraction of structure and other useful information from an image. We will first look at detection of lines and edges and then briefly discuss the edge-linking problem that occurs when the located edge pixels on an object boundary have gaps. We then raise our level of analysis to objects and look at problems of image segmentation. Simple manual thresholding is followed by the more powerful K-means algorithm. ...
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