image retrieval with color and texture features of image sub-blocks
image retrieval with color and texture features of image sub-blocks Each image is partitioned into 4 6 grids of equal-sized sub-blocks. Further the size of the sub-block is fixed for all the images.…
Specifikacia image retrieval with color and texture features of image sub-blocks
image retrieval with color and texture features of image sub-blocks
Each image is partitioned into 4 6 grids of equal-sized sub-blocks. Further the size of the sub-block is fixed for all the images. The size of the sub-block is maintained as 64x64 pixels.
A color feature descriptor Local AutoCorrelogram (LAC) which is invariant to translation and occlusion is proposed to represent the color of the sub-block. Then the color and texture features of each sub-block are computed. 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