文献类型： 外文期刊
作者： Diao, Zhihua 1 ; Guo, Xinyu 1 ; Zhao, Chunjiang 1 ; Lu, Shenglian 1 ; Wen, Weiliang 1 ;
作者机构： 1.Natl Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
2.Univ Sci & Technol China, Dept Automat, Hefei 230027, Anhui, Peoples R China
关键词： Image Segmenting; Watershed Algorithm; Morphological Processing; Noise Elimination; Complicated Background
期刊名称：SENSOR LETTERS （ 影响因子：0.558； 五年影响因子：0.58 ）
ISSN： 1546-198X
年卷期： 2010 年 8 卷 1 期
页码：
收录情况： SCI
摘要： A segmentation algorithm is proposed in this paper to deal with the problem of segmenting spots from crop leaf disease image with complicated background. Firstly the profile of the initial image is extracted by using a watershed algorithm from the gray-scale image, and the binary image is obtained by combining a threshold processing and morphological operations. Then the accurate leaf disease image is extracted by using window clipping and image restoration. Finally, the spots are segmented from the leaf disease image by using green segmentation algorithm, and the accurate spot information can be obtained after noise reduction. The experimental result shows that the proposed algorithm can be used in complicated field environment with high extracting accuracy.
- 相关文献
作者其他论文 更多>>
-
LettuceP3D: A tool for analysing 3D phenotypes of individual lettuce plants
作者：Ge, Xiaofen;Guo, Xinyu;Ge, Xiaofen;Wu, Sheng;Wen, Weiliang;Xiao, Pengliang;Lu, Xianju;Liu, Haishen;Zhang, Minggang;Guo, Xinyu;Ge, Xiaofen;Wu, Sheng;Wen, Weiliang;Xiao, Pengliang;Lu, Xianju;Liu, Haishen;Zhang, Minggang;Guo, Xinyu;Wu, Sheng;Wen, Weiliang;Shen, Fei
关键词：Lettuce; Point cloud segmentation; Deep learning; Phenotypic analysis algorithm
-
3D time-series phenotyping of lettuce in greenhouses
作者：Ma, Hanyu;Wen, Weiliang;Gou, Wenbo;Fan, Jiangchuan;Gu, Shenghao;Guo, Xinyu;Ma, Hanyu;Wen, Weiliang;Gou, Wenbo;Lu, Xianju;Fan, Jiangchuan;Zhang, Minggang;Liang, Yuqiang;Gu, Shenghao;Guo, Xinyu
关键词：Time-series; 3D phenotyping; Rail-driven phenotyping platform; Lettuce; Greenhouse
-
Recognition of maize seedling under weed disturbance using improved YOLOv5 algorithm
作者：Tang, Boyi;Zhao, Chunjiang;Tang, Boyi;Zhou, Jingping;Pan, Yuchun;Qu, Xuzhou;Cui, Yanglin;Liu, Chang;Li, Xuguang;Zhao, Chunjiang;Gu, Xiaohe;Li, Xuguang
关键词：Object detection; Maize seedlings; UAV RGB images; YOLOv5; Attention mechanism
-
Boosting Cost-Efficiency in Robotics: A Distributed Computing Approach for Harvesting Robots
作者：Xie, Feng;Xie, Feng;Li, Tao;Feng, Qingchun;Li, Tao;Feng, Qingchun;Chen, Liping;Zhao, Chunjiang;Zhao, Hui
关键词：5G network; computation allocation; edge computing; harvesting robot; visual system
-
Genotyping Identification of Maize Based on Three-Dimensional Structural Phenotyping and Gaussian Fuzzy Clustering
作者：Xu, Bo;Zhao, Chunjiang;Xu, Bo;Zhao, Chunjiang;Yang, Guijun;Zhang, Yuan;Liu, Changbin;Feng, Haikuan;Yang, Xiaodong;Yang, Hao;Xu, Bo;Zhao, Chunjiang;Yang, Guijun;Zhang, Yuan;Liu, Changbin;Feng, Haikuan;Yang, Xiaodong;Yang, Hao
关键词：tassel; 3D phenotyping; TreeQSM; genotyping; clustering
-
High-throughput phenotyping techniques for forage: Status, bottleneck, and challenges
作者：Cheng, Tao;Zhang, Dongyan;Cheng, Tao;Wang, Zhaoming;Zhang, Dongyan;Zhang, Gan;Yuan, Feng;Liu, Yaling;Wang, Tianyi;Ren, Weibo;Zhao, Chunjiang
关键词：Forage; High-throughput phenotyping; Precision identification; Sensors; Artificial intelligence; Efficient breeding
-
Comprehensive review on 3D point cloud segmentation in plants
作者：Song, Hongli;Wen, Weiliang;Wu, Sheng;Guo, Xinyu;Song, Hongli;Wen, Weiliang;Wu, Sheng;Guo, Xinyu;Song, Hongli
关键词：Plant; Three-dimensional; Point cloud; Segmentation; Multi-scale; Deep learning
