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

作者：Verma Manisha^*; Raman Balasubramanian

来源：Journal of Visual Communication and Image Representation, 2015, 32: 224-236.

DOI：10.1016/j.jvcir.2015.08.015

• Content based image retrieval
• Local binary pattern
• Center symmetric local binary pattern
• Gray level co-occurrence matrix
• Feature vector
• Texture feature
• MIT VisTex texture database
• Brodatz texture database
• ORL face database
• OASIS MRI image database

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.

• 出版日期2015-10