Abstract
AbstractThis paper proposes a content based image retrieval system using the local colour and texture features of image sub blocks. The colour features are extracted from the histograms of the three channels of RGB colour space. Gray Level co- occurrence matrix (GLCM) is used for extracting the texture features. A combined colour and texture feature vector is computed for each sub block and Euclidean distance measure is used for computing the distance between the features of the query image and candidate images in the database. Preliminary experimental results shows that the proposed method provides better retrieving results than some of the existing methods based on colour and texture.KeywordsContent Based Image RetrievalGLCMColour histogram
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
