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ZJUS-A
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2004, Vol. 5 Issue (7): 764-772    DOI: 10.1631/jzus.2004.0764
Computer & Information Science     
A flower image retrieval method based on ROI feature
HONG An-xiang, CHEN Gang, LI Jun-li, CHI Zhe-ru, ZHANG Dan
Department of Applied Mathematics, Zhejiang University, Hangzhou 310027, China; Center for Multimedia Signal Processing, Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Hong Kong, China; Computer Science College, Zhejiang University, Hangzhou 310027, China
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Abstract  Flower image retrieval is a very important step for computer-aided plant species recognition. In this paper, we propose an efficient segmentation method based on color clustering and domain knowledge to extract flower regions from flower images. For flower retrieval, we use the color histogram of a flower region to characterize the color features of flower and two shape-based features sets, Centroid-Contour Distance (CCD) and Angle Code Histogram (ACH), to characterize the shape features of a flower contour. Experimental results showed that our flower region extraction method based on color clustering and domain knowledge can produce accurate flower regions. Flower retrieval results on a database of 885 flower images collected from 14 plant species showed that our Region-of-Interest (ROI) based retrieval approach using both color and shape features can perform better than a method based on the global color histogram proposed by Swain and Ballard (1991) and a method based on domain knowledge-driven segmentation and color names proposed by Das et al.(1999).

Key words： Flower image retrieval      Knowledge-driven segmentation      Flower image characterization      Region-of-Interest (ROI)      Color features      Shape features     
Received: 28 September 2003     
CLC:  O177  
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HONG An-xiang
CHEN Gang
LI Jun-li
CHI Zhe-ru
ZHANG Dan
Cite this article:

HONG An-xiang, CHEN Gang, LI Jun-li, CHI Zhe-ru, ZHANG Dan. A flower image retrieval method based on ROI feature. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2004, 5(7): 764-772.

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http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.2004.0764     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2004/V5/I7/764

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