Title :
Image retrieval system based on color layout descriptor and Gabor filters
Author_Institution :
Dept. of Comput. Syst. & Technol., Univ. Malaya, Kuala Lumpur, Malaysia
Abstract :
The current paper presents a content-based image retrieval (CBIR) system using the image features extracted by a color layout descriptor (CLD) and Gabor texture descriptor. CLD represents the spatial distribution of colors with a few nonlinear quantized DCT coefficients of grid-based average colors, whereas the Gabor filter works as a bandpass filter for the local spatial frequency distribution. These two descriptors are very powerful for CBIR systems. Furthermore, combining the color and texture features in CBIR systems leads to more accurate results for image retrieval. To compare the performance of image retrieval method, average precision and recall are computed for all queries. The results showed an improved performance (higher precision and recall values) compared with the performance using other CBIR methods.
Keywords :
Gabor filters; content-based retrieval; discrete cosine transforms; image colour analysis; CBIR; CLD; DCT coefficients; Gabor filters; Gabor texture descriptor; bandpass filter; color layout descriptor; content based image retrieval; discrete cosine transform; spatial distribution; Feature extraction; Gabor filters; Image color analysis; Image retrieval; Layout; Color Layout Descriptor; Color-texture; Gabor filter; Image database; Image retrieval;
Conference_Titel :
Open Systems (ICOS), 2011 IEEE Conference on
Conference_Location :
Langkawi
Print_ISBN :
978-1-61284-931-7
DOI :
10.1109/ICOS.2011.6079266