Image Retrieval Based on Weighted Block Color Histogram and Texton Co-occurrence Matrix
نویسندگان
چکیده
منابع مشابه
Feature Matching Process Using Euclidean Distance of Weighted Block Color Histogram and Color Co-Occurrence Matrix for Content Based Image Retrieval System
In the present days, Images are widely used everywhere. The Image retrieval are classified into content based image retrieval that is using image contents such as color, texture, shape and spatial information and context based image retrieval that is using annotated text. Content Based Image Retrieval (CBIR) is a well-known technique for effective image retrieval. The fused features are used to...
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This paper presents a novel image feature representation method, called multi-texton histogram (MTH), for image retrieval. MTH integrates the advantages of co-occurrence matrix and histogram by representing the attribute of co-occurrence matrix using histogram. It can be considered as a generalized visual attribute descriptor but without any image segmentation or model training. The proposed MT...
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One of many method for image retrieval is Multi Texton Histogram (MTH) that incorporated feature extraction technique. Though the MTH is able to represent the image very well, it’s still has weaknesses. First, the MTH is only using local features to represent image. Second, in the process of pixel pair detection using texton, there is information missing that caused image representation may deg...
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Image retrieval system is one of a challenging topic and is not yet finalized. A number of features extraction methods has been proposed, for example Gray Level CoOccurrence Matrix (GLCM), Texton Co-Occurrence Histogram (TCM), Multi Texton Histogram (MTH), Micro Stucture Descriptor (MSD), Enhanced Micro Structure Descriptor (EMSD) and Color difference Histogram (CDH). However, the precision rat...
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In the previous chapter, an integrated approach for texture classification using ILCLBP-T is proposed. In continuation to that, the present chapter derived a new co-occurrence matrix based on textons and texture orientation for rotation invariant texture classification of 2D images. The new co-occurrence matrix is called as Texton and Texture Orientation Co-occurrence Matrix (T&TO-CM). The Co-o...
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