DocumentCode :
625743
Title :
An automatic leaf analysis system
Author :
Guo-Shiang Lin ; Tai-Yu Su ; Jun-Hong Lin ; Yi-Ting Chen ; Chan-Han Ya ; Fu-You Li
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Da-Yeh Univ., Da-Tsuen, Taiwan
fYear :
2013
fDate :
3-6 June 2013
Firstpage :
193
Lastpage :
194
Abstract :
In this paper, we proposed an automatic vision-based leaf analysis system. The proposed system is composed of two units: image acquisition unit and image analysis unit. To evaluate the proposed scheme, several images containing different species of leaves are captured by using low-cost webcam. Experimental results show that our proposed system can detect leaf regions well in images. In addition, the accuracy rate of the proposed system for measuring leaf area is more than 99%. In addition, the average execution time for each image is 143.8 msecs. These results demonstrate that our proposed system can not only efficiently locate and measure leaf areas but also count leaves in real-world noisy images.
Keywords :
computer vision; image denoising; automatic vision based leaf analysis system; image acquisition unit; image analysis unit; leaf area measurement; leaf region detection; low-cost Webcam; noisy images; Accuracy; Agriculture; Area measurement; Computers; Image analysis; Labeling; Webcams;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics (ISCE), 2013 IEEE 17th International Symposium on
Conference_Location :
Hsinchu
ISSN :
0747-668X
Print_ISBN :
978-1-4673-6198-9
Type :
conf
DOI :
10.1109/ISCE.2013.6570180
Filename :
6570180
Link To Document :
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