Much recent research in computer vision has been aimed at the recognition of objects from scenes. Perceptual grouping has demonstrated its importance in creating descriptions of objects. Elementary edge descriptors are grouped into more complex structures based on relations such as proximity, parallelism, symmetry, and junction. However, exact determinations of these relations are impossible, because the relation is naturally uncertain and the output of low-level processing is not perfect. In this paper, an edge finding scheme based on fuzzy perceptual grouping is introduced. The geometrical relations are considered as fuzzy relations. The grouping operations that are based upon the fuzzy relations are discussed. The results of this edge-finder and their comparison with those of human beings are illustrated. The software implementation is also described.
Library of Congress Subject Headings
Image processing--Digital techniques--Mathematics; Fuzzy systems; Pattern recognition systems; Computer vision
Department, Program, or Center
Chester F. Carlson Center for Imaging Science (COS)
Zhang, Yue, "An Edge-finder based on fuzzy perceptual grouping" (1994). Thesis. Rochester Institute of Technology. Accessed from
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