Texture Segmentation Using Multichannel Gabor Filtering
نویسندگان
چکیده
منابع مشابه
Texture Segmentation Using Gabor Filters
The human’s capability to distinguish perceptually different textures is difficult to reproduce using machine vision due the variety of textural patterns and illumination conditions. Bovik et al. proposed a multi-channel texture analysis technique that relies on 2-D Gabor filters to isolate regions of perceptually homogeneous texture in an image. Textures are modeled as a pattern dominated by a...
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Texture image analysis is one of the most important working realms of image processing in medical sciences and industry. Up to present, different approaches have been proposed for segmentation of texture images. In this paper, we offered unsupervised texture image segmentation based on Markov Random Field (MRF) model. First, we used Gabor filter with different parameters’ (frequency, orientatio...
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ژورنال
عنوان ژورنال: IOSR Journal of Electronics and Communication Engineering
سال: 2012
ISSN: 2278-8735,2278-2834
DOI: 10.9790/2834-0262226