Content based image retrieval using shape and color feature

Hence to supplement the complimentary features of the SIFT and SURF, a new Feature based image mosaicing technique using image fusion has been proposed and

Unlike other block based retrieval systems, which requires all the sub-blocks of an image for similarity computation and retrieval, the proposed approach involved

The average rank obtained using iterated and weighted moment features of MOD-LTP with a local variance-based threshold, is one to two times better than rotational invariant LBP

The Local Binary Pattern (LBP) operator is a gray-scale invariant texture primitive, derived from a general definition of texture in a local neighborhood. Due to

The proposed system uses visual image queries for retrieving similar images from database of Malayalam handwritten characters.. Local Binary Pattern (LBP) descriptors of the

For each ROI in the query image, the colour and texture features are computed and is compared with same number of ROIs of the target images that are arranged in

This feature also enables location based addressing to be trivially supported with minimal overhead by using a single content word entry (cached in the content cache) that represents

Search co-ordination: After the selection of suitable RMAs and suitable document categories at each RMA, an appropriate set of MSAs need to be chosen depending on each