Color Local Binary Patterns for Image Indexing and Retrieval
نویسندگان
چکیده
منابع مشابه
Inter Space Local Binary Patterns for Image Indexing and Retrieval
In this paper, inter space local binary pattern (ISLBP) algorithm for content based image retrieval (CBIR) is proposed. First the image is separated into red(R), green(G), and blue(B) color spaces, and these are used for inter space local binary patterns (ISLBP), which are evaluated by taking into consideration of local difference between the center pixel and its neighbors by changing center pi...
متن کاملInter Color Local Ternary Patterns for Image Indexing and Retrieval
Content Based Image Retrieval (CBIR) system using Inter Color Local Ternary Patterns (ICLTP) based features with high retrieval rate and less computational complexity is proposed in this paper. The property of LTP is, it extracts the information based on distribution of edges in an image. This property made it a powerful tool for feature extraction of images in the data base. First the image is...
متن کاملColor Image Retrieval Using Mixed Binary Patterns
Content Based Image Retrieval (CBIR) system using Inter Space Local Binary Patterns (ISLBP) based features with high retrieval rate and less computational complexity is proposed in this paper. The property of LBP is it extracts the information based on distribution of edges in an image. This property made it a powerful tool for feature extraction of images in the data base. First the image is s...
متن کاملColor orthogonal local binary patterns combination for image region description
Visual content description is a key issue for machine-based image analysis and understanding. A good visual descriptor should be both discriminative enough and computationally efficient while possessing some properties of robustness to viewpoint changes and lighting condition variations. In this paper, we propose several new local descriptors based on color orthogonal local binary patterns comb...
متن کاملAn Extension to the Local Binary Patterns for Image Retrieval
In this paper, we propose an extension to the local binary patterns for image retrieval. We focus on the spatial distribution information in images, and present a spatial-distribution-information-enhanced local pattern for content-based image retrieval. Differing from traditional local patterns, we group those gray-level varying values according to three directions, and each group is then merge...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Intelligent Systems and Applications
سال: 2014
ISSN: 2074-904X,2074-9058
DOI: 10.5815/ijisa.2014.09.09