An Edge-finder based on fuzzy perceptual grouping

Show full item record

Redirect: RIT Scholars content from RIT Digital Media Library has moved from to RIT Scholar Works, please update your feeds & links!
Title: An Edge-finder based on fuzzy perceptual grouping
Author: Zhang, Yue
Abstract: 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.
Record URI:
Date: 1994-07

Files in this item

Files Size Format View
TZhangThesis07-1994.pdf 7.803Mb PDF View/Open

The following license files are associated with this item:

This item appears in the following Collection(s)

Show full item record

Search RIT DML

Advanced Search