Title :
Geometric image primitives by complex moments in Gabor space and the application to texture segmentation
Author :
Bigün, Josef ; Du Buf, J. M Hans
Author_Institution :
Signal Processing Lab., Swiss Federal Inst. of Technol., Lausanne, Switzerland
Abstract :
An approach to image feature extraction is proposed. Complex moments of the Gabor power spectrum are used to detect linear, rectangular, hexagonal/triangular, and other structures with very fine to very coarse resolutions. When the method is applied to texture segmentation, good results are obtained
Keywords :
image recognition; pattern recognition; Gabor power spectrum; Gabor space; complex moments; geometric image primitives; image feature extraction; texture segmentation; Fitting; Image segmentation; Laboratories; Shape; Signal processing; Signal resolution; Space technology;
Conference_Titel :
Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
Conference_Location :
Champaign, IL
Print_ISBN :
0-8186-2855-3
DOI :
10.1109/CVPR.1992.223118
