A Multithreshold Method for Image Segmentation Based on Objects’ Character

谌海新; 沈振康; 夏放怀

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A Multithreshold Method for Image Segmentation Based on Objects’ Character

更新时间：2025-12-08

- A Multithreshold Method for Image Segmentation Based on Objects’ Character
- Acta Electronica Sinica Issue 3, Pages: 32-36(1999)
- 作者机构：
  
  1. 国防科技大学电子技术学院ATR实验室!长沙
  2. 410073
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911.7
- Published：1999
- 稿件说明：
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[1]谌海新,沈振康,夏放怀.一种基于目标特征的多门限图像分割方法[J].电子学报,1999(03):32-36.

谌海新, 沈振康, 夏放怀. A Multithreshold Method for Image Segmentation Based on Objects’ Character[J]. Acta Electronica Sinica, 1999, (3): 32-36.
[1]谌海新,沈振康,夏放怀.一种基于目标特征的多门限图像分割方法[J].电子学报,1999(03):32-36. DOI：

谌海新, 沈振康, 夏放怀. A Multithreshold Method for Image Segmentation Based on Objects’ Character[J]. Acta Electronica Sinica, 1999, (3): 32-36. DOI：

摘要

本文提出了一种基于目标特征的多门限图像分割方法．它通过以特征量匹配的方式将属于景物的先验空间知识引入分割过程，使图像分割由单纯的灰度聚类过程变成灰度一几何空间聚类过程．实验结果表明，本文提出的方法可以完整地分割出复杂背景图像中本身具有多个灰度层次的景物．

Abstract

A multithreshold method for image segmentation based on objects’ character is proposed in this paper. The prior knowledge of the scene is presented in the form of characteristic vectors in the procedure of segmentation

and therefore the image segmentation is converted to the graylevel-geometric space clustering from the graylevel only based clustering. The experiment results show that the method proposed can segment the object which has considerable graylevel variance from complicated scenes.

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