DocumentCode :
3019525
Title :
A novel salient region extraction based on color and texture features
Author :
Cai, Jing-zhi ; Zhang, Ming-xin ; Chang, Jin-yi
Author_Institution :
Coll. of Electron. Inf. Eng., Beifang Ethnic Univ., Yinchuan, China
fYear :
2009
fDate :
12-15 July 2009
Firstpage :
8
Lastpage :
15
Abstract :
In current common research reports, salient regions are usually defined as those regions that could present the main meaningful or semantic contents, However, there are no uniform saliency metrics that could describe the saliency of implicit image regions. Most common metrics take those regions as salient regions, which have many abrupt changes or some unpredictable characteristics. But, this metric will fail to detect those salient useful regions with flat textures. In fact, according to human semantic perceptions, color and texture distinctions are the main characteristics that could distinct different regions. Thus, we present a novel saliency metric coupled with color and texture features, and its corresponding salient region extraction methods. In order to evaluate the corresponding saliency values of implicit regions in one image, three main colors and multi-resolution Gabor features are respectively used for color and texture features. For each region, its saliency value is actually to evaluate the total sum of its Euclidean distances for other regions in the color and texture spaces. A special synthesized image and several practical images with main salient regions are used to evaluate the performance of the proposed saliency metric and other several common metrics, i.e., scale saliency, wavelet transform modulus maxima point density, and important index based metrics. Experiment results verified that the proposed saliency metric could achieve more robust performance than those common saliency metrics.
Keywords :
feature extraction; image colour analysis; image resolution; image segmentation; image texture; wavelet transforms; Euclidean distance; human semantic perception; image colour analysis; image synthesis; modulus maxima point density; multiresolution Gabor feature; performance evaluation; salient region extraction method; texture feature; wavelet transform; Content based retrieval; Data mining; Humans; Image analysis; Image color analysis; Image retrieval; Information analysis; Pattern analysis; Pattern recognition; Wavelet analysis; Color and texture features; Image segmentation; Saliency metric; Salient regions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wavelet Analysis and Pattern Recognition, 2009. ICWAPR 2009. International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3728-3
Electronic_ISBN :
978-1-4244-3729-0
Type :
conf
DOI :
10.1109/ICWAPR.2009.5207420
Filename :
5207420
Link To Document :
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