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ABSTRACT
ISSN: 0975-4024
Title |
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Preferential Image Segmentation Using J Segmentation Based on Color, Shape and Texture |
Authors |
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Ms Akila Victor, Mrs. J. Roselin, Dr. V. Kavitha |
Keywords |
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JSegmentation, Texture Classification, Peer Group Filter. |
Issue Date |
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Apr 2010 |
Abstract |
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The main key point of preferential image segmentation is to segment object of user interest based on intensities, boundaries and texture and ignoring the remaining portions. It utilizes a tree of shapes to represent the image content. This representation provides a hierarchical tree for the objects contained in the level sets of the image. The hierarchical structure is utilized to select the candidate objects from the image. The J-segmentation (J-SEG) provides a way to construct a tree of shapes. The boundaries of the selected objects are then compared with those of objects selected from prior images. |
Page(s) |
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131-135 |
ISSN |
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0975-4024 |
Source |
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Vol. 2, No.2 |
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