International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 132 - Number 15 |
Year of Publication: 2015 |
Authors: Krishnaveni Sadarajupalli, Sudhakar Putheti |
10.5120/ijca2015907663 |
Krishnaveni Sadarajupalli, Sudhakar Putheti . Rough Texton based Fundus Image Retrieval. International Journal of Computer Applications. 132, 15 ( December 2015), 19-25. DOI=10.5120/ijca2015907663
Content based image retrieval (CBIR), is a robust technique widely used in the field of image retrieval. This method uses visual contents like color, texture and shape, to search images from a large scale database of images. Among the primary image contents, texture is an important spatial feature. Texton is a statistical approach used to analyze the texture of an image. Texture-based approach proposed here can take into account the vagueness of images also while retrieving images just as an expert manually retrieves medical images.