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An image retrieval with color and texture features of image sub-blocks | Kavitha Chaduvula | Taschenbuch | 168 S. | Englisch | 2014 | Scholars' Press | EAN 9783639713244 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 105339592
Each image is partitioned into 4×6 grids of equal-sized sub-blocks. The size of the sub-block is maintained as 64x64 pixels. Further the size of the sub-block is fixed for all the images. Then the color and texture features of each sub-block are computed. A color feature descriptor Local AutoCorrelogram (LAC) which is invariant to translation and occlusion is proposed to represent the color of the sub-block. Similarly, the texture of the sub-block is extracted based on Edge Oriented Gray Tone Spatial Dependency Matrix (EOGTSDM) of an image. An image matching scheme based on Integrated Minimum Cost Sub-block Matching (IMCSM) principle is used to compare the query and the target image, which in turn reduces the cost of finding the integrated matching distance. The adjacency matrix of a bipartite graph is formed using the sub-blocks of query and target image, which is used for matching the images. To further improve the quality of retrieval, a Relevance Feedback approach based on a feature re-weighting scheme is used to improve the retrieval accuracy. The experimental results show that this method has improved retrieval precision and recall.
About the Author: Dr.Kavitha.Chaduvula obtained her Ph.D in Computer Science and Engineering at JNTUK, Kakinada. Dr.Kavitha is working as a professor of Computer Science and Engineering department in Gudlavalleru Engineering college. Dr.Kavitha has 13 years of teaching experience and published 15 papers in international/national journals and conferences.
Title: An image retrieval with color and texture ...
Publisher: Scholars' Press
Publication Date: 2014
Binding: Taschenbuch
Condition: Neu