In-field pineapple recognition based on monocular vision

被引：0
|
作者：
Li B. [1 ]
Ning W. [2 ]
Wang M. [1 ]
Li L. [1 ]
机构：
[1] Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education
[2] Oklahoma State University, Stillwater
来源：
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering | 2010年 / 26卷 / 10期
关键词：
Hierarchical clustering; Image processing; Morphology; Pineapple; Recognition; Vision;
D O I：
10.3969/j.issn.1002-6819.2010.10.057
中图分类号：
学科分类号：
摘要：
Recognition of pineapple fruit is key to the vision system of pineapple harvesting robots. In this paper, image processing and morphological technologies were employed to recognize the fruit eyes and get the central points information of the eyes on the green pineapples in field; then, hierarchical clustering algorithm was used to cluster the central points. By getting the central coordinates of the dataset containing the most fruit-eye central points, the approximate shape center of the pineapple was calculated. 35 images taken in pineapple field in Guangdong province were selected as the validation dataset. Experimental results showed that, the fruit correct-recognition rate could reach 85% in light-facing conditions. The research can provide effective technical solutions for the in-field fruit recognition to pineapple harvesting robots.
引用
收藏
页码：345 / 349
页数：4
相关论文
共 13 条
  • [1] Liu C., Zhang T., Yang L., Research progress on picking robot for fruits and vegetables, Journal of Anhui Agricultural Sciences, 36, 13, pp. 5394-5397, (2008)
  • [2] Kaewapichai W., Kaewtrakulpong P., Prateepasen A., Et al., Fitting a pineapple model for automatic maturity grading, International Conference on Image Processing Proceedings, pp. 1257-1260, (2007)
  • [3] Convert RGB image or colormap to grayscale
  • [4] Li G., Li B., Wang Y., Et al., Method for classification of pearl color based on HIS model, Transactions of the CSAE, 24, 8, pp. 284-287, (2008)
  • [5] Li G., Li B., Wang Y., Et al., Classification method of pearl luster degree based on HSL, Transactions of the CSAM, 39, 6, pp. 113-117, (2008)
  • [6] Yang W., Li D., Wei X., Et al., Toward image segmentation of foreign fibers in lint, Transactions of the CSAM, 40, 3, pp. 156-160, (2009)
  • [7] Li G., Li B., Wang Y., Et al., Pearl shape recognition based on computer vision, Transactions of the CSAM, 39, 7, pp. 129-132, (2008)
  • [8] Johnson S.C., Hierarchical clustering schemes, Psychometrika, 2, pp. 241-254, (1967)
  • [9] D'Andrade R., U-statistic hierarchical clustering, Psychometrika, 4, pp. 58-67, (1978)
  • [10] Hierarchical Clustering
12