Abstract
A new algorithm meant for content based image retrieval (CBIR) is presented in this paper. First the image is segmented into regions using fuzzy c-means algorithm (FCM), and then the local region of image is represented by local binary patterns (LBP), which are evaluated by taking into consideration of local difference between the center pixel and its neighbors. LBP extracts the information based on distribution of edges in an image. Two experiments have been carried out for proving the worth of our algorithm. It is further mentioned that the database considered for experiments are Corel 1000 database (DB1), and Corel 2450 database (DB2). The results after being investigated shows a significant improvement in terms of their evaluation measures as compared to LBP and other existing transform domain techniques.
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Pandey, D., Kumar, R. (2012). Hybrid Algorithm Using Fuzzy C-Means and Local Binary Patterns for Image Indexing and Retrieval. In: Patnaik, S., Yang, YM. (eds) Soft Computing Techniques in Vision Science. Studies in Computational Intelligence, vol 395. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25507-6_10
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