Abstract
Texture segmentation aims at dividing an image into perceptually uniform regions each containing a distinct texture. In images of natural scene, texture in a region can change gradually in scale and orientation due to perspective distortion. A naive segmentation method may erroneously group image patches with the same texture but slowly varying scales and orientations into distinct regions. This paper describes a novel segmentation method which takes into account the rate of change of texture scale and orientation. The method extracts scale and orientation information from the outputs of a set of Gabor filters, and use them to group image patches into perceptually uniform texture regions.
This research is supported by NUS Academic Research Grant RP950656 and NUS Research Scholarship HD950345.
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© 1997 Springer-Verlag Berlin Heidelberg
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Zhang, N., Leow, W.K. (1997). Perceptually consistent segmentation of texture using multiple channel filter. In: Chin, R., Pong, TC. (eds) Computer Vision — ACCV'98. ACCV 1998. Lecture Notes in Computer Science, vol 1352. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63931-4_193
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DOI: https://doi.org/10.1007/3-540-63931-4_193
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Online ISBN: 978-3-540-69670-4
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