Description
| Product ID: | 9783639713244 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | GB |
| Title: | An image retrieval with color and texture features of image sub-blocks |
| Authors: | Author: Kavitha Chaduvula |
| Page Count: | 168 |
| Subjects: | Information technology: general topics, Information technology: general issues |
| Description: | 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. |
| Imprint Name: | Scholars' Press |
| Publisher Name: | Scholars' Press |
| Country of Publication: | GB |
| Publishing Date: | 2014-03-18 |
