INDEXING AND RETRIEVAL OF COMPOUND COLOR OBJECTS USING CO-OCCURRENCE HISTOGRAMS OF COLOR AND WAVELET FEATURES

被引:1
|
作者
Hesson, Ali [1 ]
Androutsos, Dimitrios [1 ]
机构
[1] Ryerson Univ, Dept Elect & Comp Engn, Toronto, ON M5B 2K3, Canada
来源
2008 15TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-5 | 2008年
关键词
Wavelet transforms; Pattern recognition; Co-occurrence histograms; Image retrieval; indexing;
D O I
10.1109/ICIP.2008.4711915
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we present a system for the retrieval and indexing of images of compound color objects. Compound color objects are objects that consist of a specific set of colors that are spatially arranged in a unique way. Examples of compound color objects include flags, trademarks, logos, and cartoons. In this paper, we apply our proposed technique to logos and trademarks. We introduces a 5-dimensional co-occurrence histogram that captures color and texture information simultaneously. We use the multi-resolution analysis feature with the Coiflet wavelet to capture the texture information in the image. We call this 5-dimensional histogram the Color Wavelet Co-occurrence Histogram(CWCH). We show that the CWCH performs better than the Edge Gradient Histogram (EGH) and the Color Edge Co-occurrence Histogram (CECH) and the MPEG-7 Edge Histogram Descriptor (EHD).
引用
收藏
页码:957 / 960
页数:4
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