Rough Texton based Fundus Image Retrieval
Author(s) -
Krishnaveni Sadarajupalli,
Sudhakar Putheti
Publication year - 2015
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2015907663
Subject(s) - computer science , fundus (uterus) , artificial intelligence , pattern recognition (psychology) , information retrieval , computer vision , ophthalmology , medicine
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.
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