Title :
Shape characterization and its applications
Author :
Shen, Liang ; Shen, Yiping ; Rangayyan, Rangaraj M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Calgary Univ., Alta., Canada
Abstract :
A new concept called the shape spectrum is proposed in this paper for shape characterization of image features. A multi-tolerance region growing method and a shape feature set are first introduced. Some general shape characterization methods, such as shape-factor-converted images, shape histogram, and shape spectrum, are then described. Preliminary results of application to synthesized images are presented
Keywords :
computer vision; feature extraction; image recognition; image segmentation; spectral analysis; computer vision; image features; image processing; multi-tolerance region growing method; shape characterization; shape feature set; shape histogram; shape roughness; shape spectrum; shape-factor-converted images; synthesized images; Application software; Computer vision; Drives; Humans; Image edge detection; Image processing; Neural networks; Shape; Speech processing; Visual system;
Conference_Titel :
Speech, Image Processing and Neural Networks, 1994. Proceedings, ISSIPNN '94., 1994 International Symposium on
Print_ISBN :
0-7803-1865-X
DOI :
10.1109/SIPNN.1994.344978