Title :
Clustering in color feature space for image correspondence
Author :
Chen, Yi-Long ; Nakatani, Hiromasa
Author_Institution :
Graduate Sch. of Electron. Sci. & Technol., Shizuoka Univ., Hamamatsu, Japan
Abstract :
An algorithm for matching image regions of multiple images is presented in this paper. The authors describe a clustering algorithm for grouping the similar tokens of regions and for selecting significant regions in HVS perceptual space. They also present a matching algorithm that uses classification information to plan a matching strategy: less ambiguous significant regions are matched first and are used as `handles´ for constraint propagation to match the remaining regions
Keywords :
image recognition; HVS perceptual space; algorithm; classification information; clustering; color feature space; constraint propagation; image correspondence; image recognition; matching; Bipartite graph; Classification algorithms; Clustering algorithms; Humans; Image matching; Image segmentation; Layout; Pixel; Space technology; Stereo vision;
Conference_Titel :
Industrial Electronics, 1992., Proceedings of the IEEE International Symposium on
Conference_Location :
Xian
Print_ISBN :
0-7803-0042-4
DOI :
10.1109/ISIE.1992.279646
