Authors
Anil K Jain, Farshid Farrokhnia
Publication date
1991/1/1
Journal
Pattern recognition
Volume
24
Issue
12
Pages
1167-1186
Publisher
Pergamon
Description
This paper presents a texture segmentation algorithm inspired by the multi-channel filtering theory for visual information processing in the early stages of human visual system. The channels are characterized by a bank of Gabor filters that nearly uniformly covers the spatial-frequency domain, and a systematic filter selection scheme is proposed, which is based on reconstruction of the input image from the filtered images. Texture features are obtained by subjecting each (selected) filtered image to a nonlinear transformation and computing a measure of “energy” in a window around each pixel. A square-error clustering algorithm is then used to integrate the feature images and produce a segmentation. A simple procedure to incorporate spatial information in the clustering process is proposed. A relative index is used to estimate the “true” number of texture categories.
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AK Jain, F Farrokhnia - Pattern recognition, 1991