Fast texture segmentation by Fourier optic implementation of Gaussian smoothed fan filters

Duncan J. Telfer; Zhongqiang Li

doi:10.1117/12.139927

24 August 1992 Fast texture segmentation by Fourier optic implementation of Gaussian smoothed fan filters

Duncan J. Telfer, Zhongqiang Li

Proceedings Volume 1704, Advances in Optical Information Processing V; (1992) https://doi.org/10.1117/12.139927
Event: Aerospace Sensing, 1992, Orlando, FL, United States

Abstract

Image segmentation by texture is achieved by using Gaussian smoothed fan (GSF) filters in the Fourier domain. These filters have intrinsically more defined bandwidths than Gabor filters and were developed earlier by the authors for multichannel filtering on digitized images. This paper reports a Fourier optical implementation of GSF filters on images constructed from Brodatz album textures. The back-transformed images are compared with corresponding output images obtained from digital processing and demonstrate that the approach is well suited to real-time fast segmentation of images containing texture fields.

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Duncan J. Telfer and Zhongqiang Li "Fast texture segmentation by Fourier optic implementation of Gaussian smoothed fan filters", Proc. SPIE 1704, Advances in Optical Information Processing V, (24 August 1992); https://doi.org/10.1117/12.139927

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KEYWORDS

Image filtering

Image segmentation

Optical filters

Gaussian filters

Fourier optics

Fluctuations and noise

Digital image processing

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