Author: Anna Blasiak Senior Thesis in Computer Science, Middlebury College Year: 2007 Pages: 79 Format: PDFAbstract: The field of computer vision is concerned with extracting information from images. The task of image segmentation is a first step in many computer vision methods and serves to simplify the problem by grouping the pixels in the image in logical ways. Image segmentation is hard to clearly define because there are many levels of detail in image and therefore many possible ways of meaningfully grouping pixels. Additionally, after choosing a definition for an optimal segmentation, there are many computational difficulties in finding such a segmentation. This thesis presents three differenct ways to approach image segmentation, explain an efficient implementation for each approach, and show sample segmentation results
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