Abstract
In this paper, we have designed a new method for region based retrieval of textured mono-channel images. To perform segmentation and region feature extraction, the concept of Markov Random Fields (MRF) in the Wavelet Transform (WT) domain is considered and the Iterated Conditional Modes (ICM) algorithm is employed. The novelty of our approach consists in exploiting the hierarchical organization of features through scales and iterations in order to design a multi-resolution and iteratively refined search procedure until user satisfaction. Experimental results show that our method achieves a suitable tradeoff between complexity and reliability of the search procedure.
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.
