Title :
Indexing and retrieval of compound color objects using co-occurrence histograms of color and wavelet features
Author :
Hesson, Ali ; Androutsos, Dimitrios
Author_Institution :
Dept. of Electr. & Comput. Eng., Ryerson Univ., Toronto, ON
Abstract :
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 cooccurrence 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).
Keywords :
image colour analysis; image resolution; image retrieval; image texture; indexing; wavelet transforms; 5D co-occurrence histogram; Coiflet wavelet; MPEG-7 edge histogram descriptor; color edge co-occurrence histogram; color feature; color wavelet co-occurrence histogram; compound color objects; edge gradient histogram; image indexing; image retrieval; multi-resolution analysis; texture information; wavelet feature; Content based retrieval; Histograms; Image analysis; Image retrieval; Image texture analysis; Indexing; Multiresolution analysis; Object detection; Trademarks; Wavelet analysis; Co-occurrence histograms; Image retrieval; Pattern recognition; Wavelet transforms; indexing;
Conference_Titel :
Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-1765-0
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2008.4711915