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Location and Recognition Fruit Trees Based on Binocular Stereo Vision

文献类型： 外文期刊

作者： Zhao, Xueguan 1 ; Gao, Yuanyuan 1 ; Wang, Songlin 1 ; Wang, Xiu 1 ; Fan, Pengfei 1 ; Feng, Qingcun 1 ;

作者机构： 1.Beijing Res Ctr Intelligent Equipment Agr, Beijing, Peoples R China

2.Natl Res Ctr Intelligent Equipment Agr, Beijing, Peoples R China

关键词： Image recognition; Binocular vision; Stereo match; Visual location

期刊名称：COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE XI, CCTA 2017, PT II

ISSN： 1868-4238

年卷期： 2019 年 546 卷

页码：

收录情况： SCI

摘要： In order to improve pesticide utilization rate and reduce the environmental pollution caused by pesticide ground loss, this paper proposes to use binocular vision to recognize the contour and distance information of fruit trees. To improve the recognition accuracy and speed, focusing on the optimization of SIFT stereo matching algorithm. A method for matching the feature points of left and right images base on cosine distance and the vector modulus is proposed. On this basis, two stereo matching algorithms are compared, The accuracy of the Improved SIFT stereo matching algorithm is improved by 1.53%, With this method, the recognition time is almost unchanged, And the stability of depth measurement is analyzed. When the target distance sensor is 180 cm-220 cm, the standard deviation is 1.3592 cm, can meet the requirements of the work.

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