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Bio-Design and Manufacturing  2022 Vol.5 No.7 P.764~772


A flower image retrieval method based on ROI feature

Author(s):  HONG An-xiang, CHEN Gang, LI Jun-li, CHI Zhe-ru, ZHANG Dan

Affiliation(s):  Department of Applied Mathematics, Zhejiang University, Hangzhou 310027, China; more

Corresponding email(s):   Hax@nbit.gov.cn

Key Words:  Flower image retrieval, Knowledge-driven segmentation, Flower image characterization, Region-of-Interest (ROI), Color features, Shape features

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HONG An-xiang, CHEN Gang, LI Jun-li, CHI Zhe-ru, ZHANG Dan. A flower image retrieval method based on ROI feature[J]. Journal of Zhejiang University Science D, 2022, 5(7): 764~772.

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journal="Journal of Zhejiang University Science D",
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%T A flower image retrieval method based on ROI feature
%A HONG An-xiang
%A CHEN Gang
%A LI Jun-li
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%DOI 10.1631/jzus.2004.0764

T1 - A flower image retrieval method based on ROI feature
A1 - HONG An-xiang
A1 - CHEN Gang
A1 - LI Jun-li
A1 - CHI Zhe-ru
A1 - ZHANG Dan
J0 - Journal of Zhejiang University Science D
VL - 5
IS - 7
SP - 764
EP - 772
%@ 1869-1951
Y1 - 2022
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.2004.0764

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).

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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