A novel regions-of-interest based image retrieval using multiple features

Author

Xiangyang, Wang ; Fengli, Hu ; Hongying, Yang

Author_Institution

Sch. of Comput. & Inf. Technique, Liaoning Normal Univ., Dalian

fYear

0

fDate

0-0 0

Abstract

In this paper, a new ROI based color image retrieval is proposed. Firstly, the ROI are extracted in DWT domain by using the human visual characteristic and K-mean clustering. Secondly, the ROI is segmented into subregions, and the ROI features are extracted from the subregions (the dominant color and its percentage is used for color feature, the pixel distribution in the subregion is used for shape feature). Finally, the average similarity between images is computed according to the ROI above features. Experimental results show that our image retrieval is more accurate and efficient in retrieving the user-interested images when there are ROI in the image (especially for the image with simple background)

Keywords

discrete wavelet transforms; feature extraction; image colour analysis; image matching; image retrieval; image segmentation; pattern clustering; DWT; K-mean clustering; color image retrieval; feature extraction; human visual characteristic; images similarity; multiple features; regions-of-interest based image retrieval; user-interested images; Color; Content based retrieval; Data mining; Frequency; Image retrieval; Image segmentation; Information retrieval; Multimedia databases; Visual perception; Wavelet transforms; Image retrieval; multi features; regions-of-interest; subregion;

fLanguage

English

Publisher

ieee

Conference_Titel

Multi-Media Modelling Conference Proceedings, 2006 12th International

Conference_Location

Beijing

Print_ISBN

1-4244-0028-7

Type

conf

DOI

10.1109/MMMC.2006.1651352

Filename

1651352