A novel content based image retrieval system using K-means/KNN with feature extraction
2012
Image retrieval has been popular for several years. There are different
system designs for content based image retrieval (CBIR) system. This paper
propose a novel system architecture for CBIR system which combines techniques
include content-based image and color analysis, as well as data mining
techniques. To our best knowledge, this is the first time to propose
segmentation and grid module, feature extraction module, K-means and
k-nearest neighbor clustering algorithms and bring in the neighborhood module
to build the CBIR system. Concept of neighborhood color analysis module which
also recognizes the side of every grids of image is first contributed in this
paper. The results show the CBIR systems performs well in the training and it
also indicates there contains many interested issue to be optimized in the
query stage of image retrieval.
Keywords:
- Correction
- Source
- Cite
- Save
- Machine Reading By IdeaReader
0
References
22
Citations
NaN
KQI