Feature extraction on local jet space for texture classification
نویسندگان
چکیده
منابع مشابه
Feature Extraction on Local Jet Space for Texture Classification
The proposal of this study is to analyze the texture pattern recognition over the local jet space looking forward to improve the texture characterization. Local jets decompose the image based on partial derivatives allowing the texture feature extraction be exploited in different levels of geometrical structures. Each local jet component evidences a different local pattern, such as, flat region...
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Methods based on local image features have recently shown promise for texture classification tasks, especially in the presence of large intra-class variation due to illumination, scale, and viewpoint changes. Inspired by the theories of image structure analysis, this paper presents a simple, efficient, yet robust descriptor namely local jet pattern (LJP) for texture classification. In this appr...
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Faculty of Electrical Engineering, Mathematics and Computer Science CE-MS-2009-25 Feature extraction is a key function in various image processing applications. A feature is an image characteristic that can capture certain visual property of the image. Texture is an important feature of many image types, which is the pattern of information or arrangement of the structure found in a picture. Tex...
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ژورنال
عنوان ژورنال: Physica A: Statistical Mechanics and its Applications
سال: 2015
ISSN: 0378-4371
DOI: 10.1016/j.physa.2015.06.046