DETECTION AND POSITION METHOD OF APPLE TREE IMAGE

文献类型： 外文期刊

第一作者： Mao, Wenhua

作者： Mao, Wenhua;Zhang, Xiaochao;Hub, Xiaoan;Mao, Wenhua;Jia, Baoping

作者机构：

关键词： apple detection;image processing;color difference;position

期刊名称：COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE II, VOLUME 2

ISSN： 1571-5736

年卷期： 2009 年 295 卷

页码：

收录情况： SCI

摘要： Apples should be quickly and correctly detected from their surroundings for the apple harvesting robot. The basic color feature was extracted from FuJi apple tree images and analyzed by the statistical analysis method. Accordingly, a new apple detection method was proposed to position the centroid of picking apples. The color difference was used to segment apples from their surroundings. Then the picking apples were chosen by area parameter. After that, the conglutinated apples were segmented by bidirectional scanning line algorithm. Finally, all of picking apples were positioned by their circum-diameter matching algorithm. The experimental result showed that the correct classification rate of apple fruit achieved 90%.

分类号：

  • 相关文献

[1]Effect of Heat Treatment on the Lipophillic Pigments of Fresh Green Tea Liquor. Lu, Jian-Liang,Dong, Zhan-Bo,Pan, Shun-Shun,Lin, Chen,Zheng, Xin-Qiang,Devajit, Borthakur,Liang, Yue-Rong,Pan, Shun-Shun,Devajit, Borthakur. 2009

[2]COLORIMETRIC AND THERMOCHROMIC PROPERTIES OF REVERSIBLE THERMOCHROMIC WOOD. Jiang, Huichuan,Jiang, Huichuan,Fu, Feng.

[3]Survey of Support Vector Machine in the Processing of Remote Sensing Image. Li, Su,Wang, Wenchao. 2013

[4]Quick image processing method of HJ satellites applied in agriculture monitoring. Yu Haiyang,Liu Yanmei,Yang Guijun,Yang Xiaodong,Yu Haiyang,Liu Yanmei,Yang Guijun,Yang Xiaodong. 2016

[5]Detection of defects on apple using B-spline lighting correction method. Li, Jiangbo,Huang, Wenqian,Guo, Zhiming. 2013

[6]Image processing methods to evaluate tomato and zucchini damage in post-harvest stages. Antonio Alvarez-Bermejo, Jose,Giagnocavo, Cynthia,Ming, Li,Yang Xinting,Castillo Morales, Encarnacion,Morales Santos, Diego P.. 2017

[7]Motion Blurring Direction Identification Based on Second-Order Difference Spectrum. Zhang, Junxiong,Li, Wei,He, Fen. 2011

[8]THE INFRARED THERMAL IMAGE-BASED MONITORING PROCESS OF PEACH DECAY UNDER UNCONTROLLED TEMPERATURE CONDITIONS. Jiao, L. Z.,Wu, W. B.,Zheng, W. G.,Dong, D. M.. 2015

[9]Design and Experiment of an Automatic Detection System for Cotton Field Pest and Seedling Information. Hua, Wu Hai,Bo, Zhao,Jun, Li Shu,Hua, Mao Wen,Chao, Zhang Xiao. 2014

[10]Artificial Neural Network to Predict Leaf Population Chlorophyll Content from Cotton Plant Images. Li Shao-kun,Wang Ke-ru,Wang Chong-tao,Suo Xing-mei,Jiang Ying-tao,Yang Mei. 2010

[11]MOBILE SMART DEVICE-BASED VEGETABLE DISEASE AND INSECT PEST RECOGNITION METHOD. Wang, Kaiyi,Zhang, Shuifa,Wang, Zhibin,Liu, Zhongqiang,Yang, Feng,Wang, Kaiyi,Zhang, Shuifa,Wang, Zhibin,Liu, Zhongqiang,Yang, Feng. 2013

[12]Detection of early bruises on peaches (Amygdalus persica L.) using hyperspectral imaging coupled with improved watershed segmentation algorithm. Li, Jiangbo,Chen, Liping,Huang, Wenqian,Li, Jiangbo,Chen, Liping,Huang, Wenqian,Li, Jiangbo,Chen, Liping,Huang, Wenqian,Li, Jiangbo,Chen, Liping,Huang, Wenqian. 2018

[13]Design and Implementation of an Automatic Grading System of Diced Potatoes Based on Machine Vision. Wang, Chaopeng,Qian, Man,Fan, Shuxiang,Chen, Liping,Wang, Chaopeng,Huang, Wenqian,Zhang, Baohua,Yang, Jingjing,Qian, Man,Fan, Shuxiang,Chen, Liping,Wang, Chaopeng,Huang, Wenqian,Zhang, Baohua,Yang, Jingjing,Qian, Man,Fan, Shuxiang,Chen, Liping,Wang, Chaopeng,Huang, Wenqian,Zhang, Baohua,Yang, Jingjing,Qian, Man,Fan, Shuxiang,Chen, Liping,Wang, Chaopeng,Huang, Wenqian,Zhang, Baohua,Yang, Jingjing,Qian, Man,Fan, Shuxiang,Chen, Liping. 2016

[14]Comparison of Color Model in Cotton Image Under Conditions of Natural Light. Zhang, J. H.,Kong, F. T.,Wu, J. Z.,Wang, S. W.,Liu, J. J.,Zhao, P.. 2016

[15]DIAGNOSTIC MODEL FOR WHEAT LEAF CONDITIONS USING IMAGE FEATURES AND A SUPPORT VECTOR MACHINE. Du, K.,Sun, Z.,Li, Y.,Zheng, F.,Chu, J.,Su, Y.. 2016

[16]Application of support vector machine for detecting rice diseases using shape and color texture features. Yao, Qing,Guan, Zexin,Zhou, Yingfeng,Tang, Jian,Hu, Yang,Yang, Baojun. 2009

[17]A simple visible and near-infrared (V-NIR) camera system for monitoring the leaf area index and growth stage of Italian ryegrass. Fan, Xinyan,Xuan, Tran Dang,Kawamura, Kensuke,Guo, Wei,Lim, Jihyun,Yuba, Norio,Kurokawa, Yuzo,Tsumiyama, Yoshimasa,Obitsu, Taketo,Lv, Renlong,Yasuda, Taisuke,Wang, Zuomin. 2018

[18]Fast detection and visualization of early decay in citrus using Vis-NIR hyperspectral imaging. Li, Jiangbo,Huang, Wenqian,Tian, Xi,Wang, Chaopeng,Fan, Shuxiang,Zhao, Chunjiang,Li, Jiangbo,Huang, Wenqian,Tian, Xi,Wang, Chaopeng,Fan, Shuxiang,Zhao, Chunjiang,Li, Jiangbo,Huang, Wenqian,Zhao, Chunjiang.

[19]Automated detection and identification of white-backed planthoppers in paddy fields using image processing. Yao Qing,Chen Guo-te,Wang Zheng,Zhang Chao,Yang Bao-jun,Tang Jian. 2017

[20]Computer vision detection of defective apples using automatic lightness correction and weighted RVM classifier. Zhang, Baohua,Gong, Liang,Zhao, Chunjiang,Liu, Chengliang,Huang, Danfeng,Zhang, Baohua,Huang, Wenqian,Li, Jiangbo,Zhao, Chunjiang.

作者其他论文 更多>>

微信小程序