DocumentCode :
2148009
Title :
Texture Synthesis Approach Using Cooperative Features
Author :
Chin-Chen Chang ; Bing-Ruei Wu ; Hao-Jen Hsu ; Je-Wei Liang ; Yuan-Ching Peng ; Wen-Kai Tai
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. United Univ., Miaoli, Taiwan
fYear :
2013
fDate :
6-8 Aug. 2013
Firstpage :
50
Lastpage :
51
Abstract :
In recent years, a lot of 2D textures have been synthesized from input 2D textures. However, the quality problems still exist for many textures. Further improvements are required to extract more reliable texture features. In this paper, we present a texture synthesis approach using cooperative color and grey-level features. For color feature extraction, we extract appearance vectors to replace RGB color values. For grey-level feature extraction, we extract the statistical features including entropy, contrast, and correlation based on the grey level co-occurrence probabilities (GLCPs). Moreover, we introduce cooperative color and GLCP features for neighborhood matching in the synthesis process. We assign different weights for color and grey-level features according to the characteristics of the input texture. The results show that the proposed approach performs well in terms of the synthesis quality.
Keywords :
entropy; feature extraction; image colour analysis; image matching; image texture; probability; statistical analysis; appearance vector extraction; color feature weights; contrast; cooperative GLCP features; cooperative color feature extraction; cooperative grey-level feature extraction; correlation; entropy; grey level co-occurrence probabilities; grey-level feature weights; input 2D texture feature extraction; neighborhood matching; statistical feature extraction; synthesis quality; texture synthesis approach; Feature extraction; Image color analysis; Three-dimensional displays; Vectors; Visualization; 2D texture; appearance vector; grey level co-occurrence probabilities; texture analysis; texture synthesis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Graphics, Imaging and Visualization (CGIV), 2013 10th International Conference
Conference_Location :
Macau
Type :
conf
DOI :
10.1109/CGIV.2013.19
Filename :
6658161
Link To Document :
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