29 December 2000 Extraction of texture regions using region-based local correlation
Author Affiliations +
Abstract
We present an efficient algorithm using a region-based texture feature for the extraction of texture regions. The key idea of this algorithm is based on the fact that most of the variations of local correlation coefficients (LCCs) according to different orientations are clearly larger in texture regions than in shade regions. An object image is first segmented into homogeneous regions. The variations of LCCs are next averaged in each segmented region. Based on the averaged variations of LCCs, each region is then classified as a texture or shade region. The threshold for classification is found automatically by an iterative threshold selection technique. In order to evaluate the performance of the proposed algorithm, we use six test images (Lena, Woman, Tank, Jet, Face and Tree) of 256 X 256 8-bit pixels. Experimental results show that the proposed feature suitably extracts the regions that appear visually as texture regions.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sang Yong Seo, Sang Yong Seo, Chae Whan Lim, Chae Whan Lim, Young Deok Chun, Young Deok Chun, Nam Chul Kim, Nam Chul Kim, } "Extraction of texture regions using region-based local correlation", Proc. SPIE 4310, Visual Communications and Image Processing 2001, (29 December 2000); doi: 10.1117/12.411849; https://doi.org/10.1117/12.411849
PROCEEDINGS
8 PAGES


SHARE
RELATED CONTENT

Saliency detection algorithm based on LSC-RC
Proceedings of SPIE (February 19 2018)
Survey: omnifont-printed character recognition
Proceedings of SPIE (November 01 1991)
User-assisted segmentation algorithm using B-spline curves
Proceedings of SPIE (December 29 2000)
Static hand gesture recognition from a video
Proceedings of SPIE (October 01 2011)
Efficient odd max quantizer for use in transform image coding
Proceedings of SPIE (November 01 1991)

Back to Top