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8 March 2018 An image-based automatic recognition method for the flowering stage of maize
Zhenghong Yu, Huabing Zhou, Cuina Li
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Proceedings Volume 10611, MIPPR 2017: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 106111O (2018) https://doi.org/10.1117/12.2288618
Event: Tenth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2017), 2017, Xiangyang, China
Abstract
In this paper, we proposed an image-based approach for automatic recognizing the flowering stage of maize. A modified HOG/SVM detection framework is first adopted to detect the ears of maize. Then, we use low-rank matrix recovery technology to precisely extract the ears at pixel level. At last, a new feature called color gradient histogram, as an indicator, is proposed to determine the flowering stage. Comparing experiment has been carried out to testify the validity of our method and the results indicate that our method can meet the demand for practical observation.
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Zhenghong Yu, Huabing Zhou, and Cuina Li "An image-based automatic recognition method for the flowering stage of maize", Proc. SPIE 10611, MIPPR 2017: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 106111O (8 March 2018); https://doi.org/10.1117/12.2288618
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KEYWORDS
Ear
Image segmentation
Cameras
Feature extraction
RGB color model
Detection and tracking algorithms
Digital cameras
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