Title :
Fuzzy measures of uncertainty in perceptual grouping
Author :
Walker, Ellen L. ; Kang, Hang-Bong
Author_Institution :
Dept. of Comput. Sci., Rensselaer Polytech. Inst., Troy, NY, USA
Abstract :
Perceptual grouping is an important phase in image processing for object recognition. When primitive objects are grouped, a measure of certainty of the group is useful both in deciding which of competing groupings to make and in recognizing objects by matching models to the eventual groups. Fuzzy measures are a useful form for describing certainty in grouping. In this paper, we derive three fuzzy measures for primitive grouping, and discuss the extension to fuzzy measures for hierarchical grouping
Keywords :
fuzzy set theory; object recognition; fuzzy uncertainty measures; hierarchical grouping; image processing; object recognition; perceptual grouping; primitive grouping; Computer science; Computer vision; Data mining; Electric variables measurement; Image processing; Measurement uncertainty; Object recognition; Particle measurements; Sorting; Systems engineering and theory;
Conference_Titel :
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1896-X
DOI :
10.1109/FUZZY.1994.343530
