Object Recognition Supported by User Interaction for Service Robots
DOI: 10.1109/icpr.2002.1048450
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Invariant texture segmentation via circular Gabor filters

Abstract: In this paper, we focus on invariant texture segmentation, and propose a new method using circular Gabor filters (CGF)

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Cited by 70 publications
(18 citation statements)
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“…The second method available in the software tool for texture segmentation is Gabor filters. These filters are special cases of band pass filters, so they are commonly used in edge detection, stereo images disparity estimation and feature extraction (Zhang, Tan, & Ma, 2002). In this work, the Gabor filter used is defined in equation (6).…”
Section: Texture Segmentationmentioning
confidence: 99%
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“…The second method available in the software tool for texture segmentation is Gabor filters. These filters are special cases of band pass filters, so they are commonly used in edge detection, stereo images disparity estimation and feature extraction (Zhang, Tan, & Ma, 2002). In this work, the Gabor filter used is defined in equation (6).…”
Section: Texture Segmentationmentioning
confidence: 99%
“…Where x and y stand for the pixel coordinates, g denotes the spatial aspect ratio, s denotes the standard deviation of the Gaussian function, l stands for the wavelength of the sinusoidal factor and f denotes the phase offset. Gabor filters are parameterized using 4 variables namely g, s, l and f. According with (Salman et al, 2013) and (Zhang et al, 2002) the phase offset f is divided in six different angles between 0 and p as depicted in equation (7).…”
Section: Texture Segmentationmentioning
confidence: 99%
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“…Using appropriate filter banks, the frequency spectrum of the texture image is decomposed into a number of sub-bands. An important application is texture segmentation and classification [11]- [13], in particular using rotation invariant filters. A class of efficient Gaussian-shaped circular filters implemented in cellular neural networks was approached in [16].…”
Section: Introductionmentioning
confidence: 99%