Color &Texture Based Image Retrieval using Fusion of Modified Block Truncation Coding (MBTC) and Kekre Transform Patterns

Content Based Image Retrieval is an interesting topic of research. This paper is about image content-based image search. Specifically, it is on developing technologies for bridging the semantic gap that currently prevents wide-deployment of image content-based search engines. Mostly, content-based methods are based on low-level descriptions, while high-level or semantic descriptions are beyond current capabilities. In this paper a CBIR is proposed based on color & texture based search. Modified Block Truncation Coding (MBTC) is used for color information retrieval. To extract texture information we are using pattern generated by transforms, currently we are considering Kekre Transform. The feature vector is generated by fusion of above mentioned techniques.

@article{Sawant2012,
  title     = {Color &Texture Based Image Retrieval using Fusion of Modified Block Truncation Coding (MBTC) and Kekre Transform Patterns},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {2},
  number    = {1},
  year      = {2012},
  publisher = {The Science and Information Organization},
  note      = {Special Issue on Selected Papers from International Conference & Workshop On Emerging Trends In Technology 2012},
  author    = {A R Sawant and V A Bharadi and Bijith Markarkandy},
  doi       = {10.14569/SpecialIssue.2012.020102},
  url       = {https://doi.org/10.14569/SpecialIssue.2012.020102}
}