Title :
N-folded symmetries by complex moments in Gabor space and their application to unsupervised texture segmentation
Author :
Bigün, Josef ; Du Buf, J. M Hans
Author_Institution :
Signal Process. Lab., Swiss Federal Inst. of Technol., Lausanne, Switzerland
fDate :
1/1/1994 12:00:00 AM
Abstract :
Complex moments of the Gabor power spectrum yield estimates of the N-folded symmetry of the local image content at different frequency scales, that is, they allow to detect linear, rectangular, hexagonal/triangular, and so on, structures with very fine to very coarse resolutions. Results from experiments on the unsupervised segmentation of real textures indicate their importance for image processing applications. Real geometric moments computed in Gabor space also provide for very powerful texture features, but lack the clear geometrical interpretation of complex moments
Keywords :
image segmentation; numerical analysis; spectral analysis; Gabor power spectrum; Gabor space; N-folded symmetries; complex moments; frequency scales; hexagonal/triangular structures; linear structures; local image content; real geometric moments; rectangular structures; resolution; unsupervised texture segmentation; Anisotropic filters; Anisotropic magnetoresistance; Frequency estimation; Image processing; Image segmentation; Laboratories; Machine intelligence; Shape; Signal processing; Yield estimation;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on