image. The two most important concepts presented are those of (1) matching an image neighborhood with a pattern or mask (correlation) and (2) convolution, a single method that can implement many useful ltering operations. 5.1 What needs xing? Before launching into the methods of this chapter, it's useful to review some of the problems that need them. Two general categories of problems follow. 145 146 Computer Vision: Mar 2000 Figure 5.1: (Left) Scratches from original photo of San Juan are removed; (center) intensities of photo of Alaskan Pipeline are rescaled to show much better detail; (right) image of airplane part has edges enhanced to support automatic recognition and measurement. 5.1.1 An Image needs Improvement On safari in Africa you got a shot of a lion chasing an antelope. Unfortunately, the sun was behind your main actor and much of your picture is too
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