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

fYear

2012

fDate

29-31 May 2012

Firstpage

1659

Lastpage

1663

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on

Conference_Location

Sichuan

Print_ISBN

978-1-4673-0025-4

Type

conf

DOI

10.1109/FSKD.2012.6234099

Filename

6234099