›› 2015, Vol. 17 ›› Issue (2): 100-108.DOI: 10.13304/j.nykjdb.2014.498

• 数字农业 农机装备 • 上一篇    下一篇

苹果树图像分割算法研究综述

胡林,周国民,丘耘,樊景超,郭秀明   

  1. (中国农业科学院农业信息研究所, 北京 100081)
  • 收稿日期:2014-08-22 修回日期:2014-12-30 出版日期:2015-04-15 发布日期:2015-04-15
  • 作者简介:胡林|研究员|博士|主要从事图像数据挖掘研究。E-mail:hulin@caas.cn
  • 基金资助:

    国家863计划项目(2013AA102405)资助。

Review on Studying Image Segment Algorithms of Apple Trees

HU Lin, ZHOU Guo-min, QIU Yun, FAN Jing-chao, GUO Xiu-ming   

  1. (Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China)  
  • Received:2014-08-22 Revised:2014-12-30 Online:2015-04-15 Published:2015-04-15

摘要:

在国内外图像处理和机器视觉技术在苹果树图像分析应用相关研究的基础上,总结了专门针对苹果树图像分割技术的研究进展。按照图像分割的技术体系,分析了苹果树图像分割技术的主要研究进展,系统地总结了图像分割算法及其在苹果树图像应用上的特点,提出了苹果树图像分割算法的演进图,展望了苹果树图像分割算法研究发展的趋势,为基于图像处理及机器视觉技术的苹果信息化技术研究提供了参考。

关键词: 果业信息化;苹果树;图像分割;边缘检测;阈值分割

Abstract:

Based on the studies about the application of image processing and computer vision on apple trees, the paper summarized the research progress made in the image segmentation algorithms for apple tree images. According to the technical system of image segmentation, this paper analyzed the main progress made in studying the apple tree image segmentation; systematically summarized the image segmentation algorithms and characteristics of apple tree application. The paper also drew an evaluation map for apple tree image segmentation algorithms, and prospected the development trend of studying apple tree image segmentation algorithms. All those provided references for further studies on the apple informatization theory and technology.

Key words: informatization of fruit industry, apple tree, image segmentation, edge detection, threshold segmentation

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