Classification of Texture Using Multi Texton Histogram and Probabilistic Neural Network
نویسندگان
چکیده
منابع مشابه
Texton-based Texture Classification
Over the last decade, several studies on texture analysis propose to model texture as a probabilistic process that generates small texture patches. In these studies, texture is represented by means of a frequency histogram that measures how often texture patches from a codebook occur in the texture. In the codebook, the texture patches are represented by, e.g., a collection of filter bank respo...
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We suggest a spectral histogram, defined as the marginal distribution of filter responses, as a quantitative definition for a texton pattern. By matching spectral histograms, an arbitrary image can be transformed to an image with similar textons to the observed. We use the chi(2)-statistic to measure the difference between two spectral histograms, which leads to a texture discrimination model. ...
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ژورنال
عنوان ژورنال: IOP Conference Series: Materials Science and Engineering
سال: 2016
ISSN: 1757-8981,1757-899X
DOI: 10.1088/1757-899x/105/1/012022