Computer Engineering and Applications ›› 2020, Vol. 56 ›› Issue (6): 220-223.DOI: 10.3778/j.issn.1002-8331.1901-0060

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Research on HSV Model for Identifying and Locating Round Plants

LI Chaochao, ZHANG Yuandong, WANG Changlong   

  1. College of Mechanical Engineering, Yangzhou University, Yangzhou, Jiangsu 225127, China
  • Online:2020-03-15 Published:2020-03-13



  1. 扬州大学 机械工程学院,江苏 扬州 225127


Recognition and location of circular plants is the core of automatic plant pruning equipment. For circular plant images, traditional image segmentation methods are difficult to achieve effective segmentation because of noise. An image segmentation method based on HSV model is proposed. In this method, the hue and saturation components are used to segment the circular plant image. The ideal circular plant target area is obtained by morphological processing of the segmented image. The coordinates and radius dimensions of the center point of the circular plant are obtained by image calibration. This method can effectively identify and locate circular plants.

Key words: circular plant, HSV model, image segmention, morphological processing



关键词: 圆形植物, HSV模型, 图像分割, 形态学处理