Color Texture Classification with Color Histograms and Local Binary Patterns
نویسنده
چکیده
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 histograms contain very discriminative color information, while the distributions of Local Binary Patterns are used to provide robust pattern-related information .
منابع مشابه
New image descriptors based on color, texture, shape, and wavelets for object and scene image classification
This paper presents new image descriptors based on color, texture, shape, and wavelets for object and scene image classification. First, a new three Dimensional Local Binary Patterns (3D-LBP) descriptor, which produces three new color images, is proposed for encoding both color and texture information of an image. The 3D-LBP images together with the original color image then undergo the Haar wa...
متن کاملLBP and Color Descriptors for Image Classification
Four novel color Local Binary Pattern (LBP) descriptors are presented in this chapter for scene image and image texture classification with applications to image search and retrieval. Specifically, the first color LBP descriptor, the oRGB-LBP descriptor, is derived by concatenating the LBP features of the component images in an opponent color space — the oRGB color space. The other three color ...
متن کاملHSV Color Histogram and Directional Binary Wavelet Patterns for Content Based Image Retrieval
This paper presents a new image indexing and retrieval algorithm by integrating color (HSV color histogram) and texture (directional binary wavelet patterns (DBWP)) features. For color feature, first the RGB image is converted to HSV image, and then histograms are constructed from HSV spaces. For texture feature, an 8-bit grayscale image is divided into eight binary bit-planes, and then binary ...
متن کاملA New Color-Texture Approach for Industrial Products Inspection
This work presents an approach for color-texture classification of industrial products. An extension of Gray Level Co-occurrence Matrix (GLCM) to color images is proposed. Statistical features are computed from an isotropic Color Co-occurrence Matrix for classification. The following color spaces are used: RGB, HSL and La*b*. New combination schemes for texture analysis are introduced. A compar...
متن کاملColor Local Texture Features Based Face Recognition
For the purpose of face recognition (FR), the new color local texture features, i.e., color local Gabor wavelets (CLGWs) and color local binary pattern (CLBP), are being proposed. The proposed color local texture features are able to exploit the discriminative information derived from spatiochromatic texture patterns of different spectral channels within a certain local face region. This method...
متن کامل