| 基于改进GrabCut算法的黄瓜植株图像分割 |
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| 引用本文： | 李帼,曹苏艳,钱婷婷,陆声链. 基于改进GrabCut算法的黄瓜植株图像分割[J]. 中国农机化学报, 2021, 0(3): 159-165 |
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| 作者姓名： | 李帼 曹苏艳 钱婷婷 陆声链 |
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| 作者单位： | 广西师范大学计算机科学与信息工程学院;上海市农业科学院农业科技信息研究所;广西多源信息挖掘与安全重点实验室 |
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| 基金项目： | 国家自然科学基金(61762013);上海市科技兴农重点攻关项目(沪农科攻字(2015)第6—4—2号)。 |
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| 摘 要： | 植物图像的自动分割是植物表型研究的热点问题,也是作物生长过程监测、病虫害识别等应用的核心技术之一.以黄瓜为对象,通过对图像中作物与背景特点的分析,选取EXG超绿分割和GrabCut算法进行试验研究;基于EXG超绿分割和GrabCut算法在黄瓜群体图像上的分割结果及这两种算法的优缺点,提出具有更高分割精度的改进算法.用室...
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| 关 键 词： | 黄瓜植株 图像分割 EXG超绿分割 GrabCut算法 |
Image segmentation of cucumber plants based on improved GrabCut algorithm |
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| Li Guo,Cao Suyan,Qian Tingting,Lu Shenglian. Image segmentation of cucumber plants based on improved GrabCut algorithm[J]. Chinese Agricultural Mechanization, 2021, 0(3): 159-165 |
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| Authors: | Li Guo Cao Suyan Qian Tingting Lu Shenglian |
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| Affiliation: | (College of Computer Science and Information Technology,Guangxi Normal University,Guilin,541004,China;Agricultural Information Institute of Science and Technology,Shanghai Academy of Agricultural Sciences,Shanghai,201403,China;Guangxi Key Lab of Multi-source Information Mining and Security,Guilin,541004,China) |
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| Abstract: | The automatic segmentation technology for studying crop population canopy images could provide core algorithms for applications such as crop growth process monitoring and phenotypic parameter extraction.Based on the analysis of the cucumber plant and background features in the image,EXG super-green segmentation and GrabCut algorithm were selected for experimental research.An improved algorithm with higher segmentation accuracy was proposed based on the advantages and disadvantages of EXG super green segmentation and GrabCut algorithm.Cucumber plant images in three different growth periods of early,middle and late were tested.The performance of the algorithm was analyzed based on the segmentation accuracy ACC and algorithm processing time.The experimental results showed that the improved algorithm could get average segmentation accuracy of 96.56%on indoor images and average segmentation accuracy of 96.59%on outdoor images under natural light conditions respectively,both are better than ExG super-green segmentation and GrabCut algorithm.The experimental results also demonstrated that our improved algorithm has better adaptability and robustness. |
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| Keywords: | cucumber plants image segmentation EXG super-green segmentation GrabCut algorithm |
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