Center symmetric local binary co-occurrence pattern for texture, face and bio-medical image retrieval

Manisha Verma, Balasubramanian Raman

Abstract:

Content based image retrieval is a common problem for a large image database. Many methods have been
proposed for image retrieval for some particular type of datasets. In the proposed work, a new image
retrieval technique has been introduced. This technique is useful for different kind of dataset. In the proposed method, center symmetric local binary pattern has been extracted from the original image to
obtain the local information. Co-occurrence of pixel pairs in local pattern map have been observed in
different directions and distances using gray level co-occurrence matrix. Earlier methods have utilized
histogram to extract the frequency information of local pattern map but co-occurrence of pixel pairs is
more robust than frequency of patterns. The proposed method is tested on three different category of
images, i.e., texture, face and medical image database and compared with typical state-of-the-art local
patterns.