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首页> 外文期刊>IAENG Internaitonal journal of computer science >Colony Image Edge Detection Algorithm Based on FCM and RBI-FCM Clustering Methods
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Colony Image Edge Detection Algorithm Based on FCM and RBI-FCM Clustering Methods

机译：基于FCM和RBI-FCM聚类方法的殖民地图像边缘检测算法

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摘要

Traditional colony image research requires human visual observation and statistics, which results in the lower work efficiency and higher work intensity. Edge detection of colony image is an important basis of the study of colony images, but the traditional edge detection operators cannot meet the precision requirements of the detection results. In this paper, a colony image edge detection algorithm based on fuzzy c-means (FCM) clustering method and robust FCM integrating between-cluster information (RBI-FCM) clustering method was proposed to segment three typical colony images (mould, actinomycetes and bacteria). The edge detection results are compared with the classical image edge detector operators, such as Roberts operator, Prewitt operator, Sobel operator, LOG operator and Canny operator. Simulation results have verified the effectiveness of the adopted FCM and RBI-FCM clustering methods.
机译：传统的殖民地图像研究需要人类的视觉观察和统计数据，这导致工作效率较低和更高的工作强度。 菌落图像的边缘检测是殖民地图像研究的一个重要基础，但传统的边缘检测操作员不能满足检测结果的精确要求。 本文提出了一种基于模糊C型群体（FCM）聚类方法和集成之间的群集信息（RBI-FCM）聚类方法的稳健FCM的菌落图像边缘检测算法，分段为三个典型的殖民地图像（模具，放线菌和细菌 ）。 将边缘检测结果与经典图像边缘检测器运营商进行比较，例如Roberts运算符，ProWitt运算符，Sobel操作员，日志操作员和Canny运算符。 仿真结果已经验证了采用的FCM和RBI-FCM聚类方法的有效性。

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  • 作者

    Xu-Dong Li; Dong Wei; Jie-Sheng Wang; Qing-Sheng Guo; Lin Chen;

  • 作者单位

    School of Electronic and Information Engineering University of Science and Technology Liaoning Anshan 114051 PR China;

    School of Electronic and Information Engineering University of Science and Technology Liaoning Anshan 114051 PR China;

    School of Electronic and Information Engineering University of Science and Technology Liaoning Anshan 114051 PR China;

    School of Electronic and Information Engineering University of Science and Technology Liaoning Anshan 114051 PR China;

    School of Electronic and Information Engineering University of Science and Technology Liaoning Anshan 114051 PR China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Colony image; Fuzzy clustering; Edge detection;

    机译：殖民地形象;模糊聚类;边缘检测;

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