Multiscale Rician approach to Gabor filter design for texture segmentation

• Published in: Proceedings of 1st International Conference on Image Processing Vol. 2; pp. 620 - 624 vol.2
• Main Authors: Weldon, T.P., Higgins, W.E.
• Format: Conference Proceeding
• Language: English
• Published: IEEE Comput. Soc. Press 1994
• Subjects: Band pass filters; Design methodology; Electronic mail; Gabor filters; Gaussian processes; Image processing; Image segmentation; Rician channels; Statistical distributions; Welding
• ISBN: 0818669527; 9780818669521
• DOI: 10.1109/ICIP.1994.413645

Gabor filters have been applied successfully to the segmentation of textured images. Previous investigators have used banks of Gabor filters, where the filter parameters were predetermined ad hoc and not necessarily optimized for a particular task. Other investigators have proposed using filters tuned to dominant components in the FFT of constituent textures. More recent work presented a Gabor filter design method using a Rician distribution to characterize the filtered textures. The article addresses the design of a single Gabor filter to segment multiple textures and is based on using the Rician distribution at two different scales of the Gabor-filter envelope. Furthermore, variable degrees of postfiltering and the accompanying effect on postfilter output statistics are considered.< >