Adaptive Multi  Thresholds Image Segmentation Based  on Fuzzy Restrainted Histogram FCM Clustering

PEI Ji  hong  1; XIE Wei  xin  2

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Adaptive Multi Thresholds Image Segmentation Based on Fuzzy Restrainted Histogram FCM Clustering

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- Adaptive Multi Thresholds Image Segmentation Based on Fuzzy Restrainted Histogram FCM Clustering
- Acta Electronica Sinica Issue 10, Pages: 38-42(1999)
- 作者机构：
  
  1. 西安电子科技大学电子工程学院,西安,710071
  2. 深圳大学校长办公室,深圳,518060
  3. 西安电子科技大学电子工程学院!西安710071深圳大学校长办公室,深圳,518060
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391.41
- Published：1999
- 稿件说明：
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[1]裴继红,谢维信.直方图模糊约束FCM聚类自适应多阈值图像分割[J].电子学报,1999(10):38-42.

PEI Ji hong 1, XIE Wei xin 2. Adaptive Multi Thresholds Image Segmentation Based on Fuzzy Restrainted Histogram FCM Clustering[J]. Acta Electronica Sinica, 1999, (10): 38-42.
[1]裴继红,谢维信.直方图模糊约束FCM聚类自适应多阈值图像分割[J].电子学报,1999(10):38-42. DOI：

PEI Ji hong 1, XIE Wei xin 2. Adaptive Multi Thresholds Image Segmentation Based on Fuzzy Restrainted Histogram FCM Clustering[J]. Acta Electronica Sinica, 1999, (10): 38-42. DOI：

摘要

本文提出了一种新的有效的图像多阈值分割方法．该方法通过对模糊约束直方图目标函数的优化．获得一个最佳模糊约束Ｃ划分，根据最大隶属度原则进行图像多阈值化．文中对得到的模糊划分函数进行了分析，同时还讨论了直方图划分类数的自适应确定问题．最后给出了几个典型的实验．理论分析和实验表明了本文方法具有速度快、划分特性良好，鲁棒性强的特点

Abstract

A new effective multi thresholds image segmentation method based on Fuzzy Restrainted Histogram FCM Clustering is presented

which is characterized by its good partition peculiarity

low computing cost and strong robustness.The analysis of its optimal partition function is given

and how to adaptively detemine segmentation class number is discussed.Finally

four experiments have been given with satisfactory results.

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