Title :
Fuzzy-set based feature extraction for objects of various shapes and appearances
Author :
Cho, Dong-uk ; Bae, Younglae J.
Author_Institution :
Seowon Univ, Chongju, South Korea
Abstract :
A method to extract functional primitives using fuzzy relations so as to effectively describe objects of various shapes and appearances is proposed. Object surfaces in a range image are segmented into visual surface regions. The geometric features between these regions are represented as fuzzy functions, which are used to extract functional primitives. This method can efficiently deal with such an object that has various shapes or appearances, and increases the performance of image analysis
Keywords :
feature extraction; fuzzy set theory; image segmentation; object recognition; functional primitives extraction; fuzzy functions; fuzzy-set based feature extraction; geometric features; image analysis; object surfaces; range image; various shaped objects; visual surface regions; Artificial intelligence; Data mining; Feature extraction; Humans; Image edge detection; Image segmentation; Object recognition; Psychology; Shape; Stability;
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
DOI :
10.1109/ICIP.1996.561070
