Unsupervised Local Binary Pattern Histogram Selection Scores for Color Texture Classification
نویسندگان
چکیده
منابع مشابه
Color Texture Classification with Color Histograms and Local Binary Patterns
The approaches proposed for color texture discrimination can be divided into two types: 1) color and texture information are processed separately, and 2) spatial interactions of pixels both within and between color bands are considered. In this paper, we briefly review recent research and propose an approach based on separate processing of complementary color and pattern information. Color hist...
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The local binary pattern (LBP) provides a simple and efficient approach to gray-scale and rotation invariant texture classification. However, the LBP operator thresholds P neighbors at the value of the center pixel in a local neighborhood and employs a P-bit binary pattern to encode only the signs of the differences between the gray values. Thus, the LBP operator discards some important texture...
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Recently, the local binary pattern (LBP) has been widely used in texture classification. The conventional LBP methods only describe micro structures of texture images, such as edges, corners, spots and so on, although many of them show a good performance on texture classification. This situation still could not be changed, even though the multiresolution analysis technique is used in methods of...
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ژورنال
عنوان ژورنال: Journal of Imaging
سال: 2018
ISSN: 2313-433X
DOI: 10.3390/jimaging4100112