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《Transactions of the Chinese Society for Agricultural Machinery》 2013-04
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Apple Fruit Recognition Algorithm Based on Laser Scanning 3-D Image

Feng Juan1,2 Liu Gang1 Si Yongsheng2 Wang Shengwei1 Ren Wen1 Zhou Wei1 (1.Key Laboratory of Modern Precision Agriculture System Integration Research,Ministry of Education,China Agricultural University,Beijing 100083,China 2.College of Information Science and Technology,Agricultural University of Hebei,Baoding 071001,China)  
An algorithm was proposed for recognizing apple fruit on the tree in order to eliminate the effects of different light and complex background.A kind of 3-D image of fruit tree was acquired with laser vision system.Image background was simplified by given scene knowledge.A double threshold detecting method was used for binarize image.Contour tracking technology based on chain code was used to record direction of target's boundary.According to change rules of chain code information,relevant standards were established for extracting contour points of apple.Shape features of fruit were obtained by random circle method.The experimental results under various conditions showed that the algorithm was real-time.Its recognition rate reached to 93.75% while fruit area sheltered was less than 40%,and the whole effect was immune to light conditions and fruit surface color.
【Fund】: 国家自然科学基金资助项目(31071333);; 保定市科学技术研究与发展计划资助项目(12ZG011)
【CateGory Index】: TP391.41
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