Extraction of texture regions using region-based local correlation

Sang Yong Seo; Chae Whan Lim; Young Deok Chun; Nam Chul Kim

doi:10.1117/12.411849

29 December 2000 Extraction of texture regions using region-based local correlation

Sang Yong Seo, Chae Whan Lim, Young Deok Chun, Nam Chul Kim

Proceedings Volume 4310, Visual Communications and Image Processing 2001; (2000) https://doi.org/10.1117/12.411849
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States

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.

Citation Download Citation

Sang Yong Seo, Chae Whan Lim, Young Deok Chun, and Nam Chul Kim "Extraction of texture regions using region-based local correlation", Proc. SPIE 4310, Visual Communications and Image Processing 2001, (29 December 2000); https://doi.org/10.1117/12.411849

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available