A Fuzzy ART Based Image Segmentation Approach

HUANG Jian-jun; ZHAO Rong-chun

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A Fuzzy ART Based Image Segmentation Approach

更新时间：2025-07-16

- A Fuzzy ART Based Image Segmentation Approach
- Acta Electronica Sinica Vol. 29, Issue 5, Pages: 718-720(2001)
- 作者机构：
  
  1. 深圳大学计算机系,深圳,518060
  2. 西北工业大学1105教研室,西安,710072
  3. 深圳大学计算机系深圳,518060
  4. 西北工业大学1105教研室西安,710072
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP751.1
- Published Online：25 May 2001，
  
  Published：2001
- 稿件说明：
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HUANG Jian-jun, ZHAO Rong-chun. A Fuzzy ART Based Image Segmentation Approach[J]. Acta Electronica Sinica, 2001, 29(5): 718-720.
DOI：

HUANG Jian-jun, ZHAO Rong-chun. A Fuzzy ART Based Image Segmentation Approach[J]. Acta Electronica Sinica, 2001, 29(5): 718-720. DOI：

摘要

本文提出了一种基于模糊ART神经网络的灰度门限化图像分割方法

该方法不仅可以自动确定分类数目

而且还能有效地抑制噪声.对人工和实际图像的分割实验结果验证了本文方法的有效性.

Abstract

A new gray level thresholding approach to image segmentation based on a fuzzy ART neural network is presented

which can determine automatically the number of classes of and suppress effectively the noise in the given image.Segmentation results on manual and real images demonstrate the effectiveness of the proposed method.

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