Abstract
This paper describes a fast and efficient texture feature extraction method based on image segmentation in HSV color space, which is especially useful in resource-limited embedded systems. In this approach, a query image is first segmented based on its color feature, and the proposed technique is applied on the labeled image to efficiently extract texture feature. Compared with the feature extraction method using discrete wavelet transform, the proposed algorithm is 15.51 times faster than the wavelet-based method while keeping the distortion of the retrieval results within a reasonable range.
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 callSimilar Papers
Disclaimer: 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.
