Title :
A method for object-based color image retrieval
Author :
Huang, Chaobing ; Han, Yarong ; Zhang, Yu
Author_Institution :
Key Lab. of Fiber Opt. Sensing Technol. & Inf. Process., Wuhan Univ. of Technol., Wuhan, China
Abstract :
Based on HSV color model, a method of object-based spatial-color feature (OSCF) for color image retrieval is proposed. Firstly, objects are extracted from color image based on our previous algorithm. Then image features are represented by objects in it. Color and spatial-color feature are adopted for description of objects. The new method only pays attention to main central objects. For images whose main objects are located in the central region of image, the description of main central objects is much more accurate in describing the image content than integrated properties of all the regions in the image. Experimental results show the effectiveness and efficiency of the method.
Keywords :
feature extraction; image colour analysis; image representation; image retrieval; HSV color model; image feature representation; object description; object extraction; object-based color image retrieval; object-based spatial-color feature; Color; Feature extraction; Image color analysis; Image retrieval; Image segmentation; Vectors; central object extraction; content-based image rerieval; region-based image retrieval; spatial-color feature;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
Conference_Location :
Sichuan
Print_ISBN :
978-1-4673-0025-4
DOI :
10.1109/FSKD.2012.6234099
