The Fast Statistical Approach for Edge Detection in a Noisy Image

Guo Ruicun; Chen Hexin; Dai Yisong

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The Fast Statistical Approach for Edge Detection in a Noisy Image

更新时间：2025-12-08

- The Fast Statistical Approach for Edge Detection in a Noisy Image
- Acta Electronica Sinica Issue 6, Pages: 38-42(1991)
- 作者机构：
  
  1. 吉林工业大学
  2. 吉林工业大学长春 130025
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：1991
- 稿件说明：
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[1]郭瑞存,陈贺新,戴逸松.噪声图象边缘检测的快速统计算法[J].电子学报,1991(06):38-42.

Guo Ruicun, Chen Hexin, Dai Yisong. The Fast Statistical Approach for Edge Detection in a Noisy Image[J]. Acta Electronica Sinica, 1991, (6): 38-42.
[1]郭瑞存,陈贺新,戴逸松.噪声图象边缘检测的快速统计算法[J].电子学报,1991(06):38-42. DOI：

Guo Ruicun, Chen Hexin, Dai Yisong. The Fast Statistical Approach for Edge Detection in a Noisy Image[J]. Acta Electronica Sinica, 1991, (6): 38-42. DOI：

摘要

本文针对边缘检测算法中统计法速度低这一问题

在Huang提出的基于最大似然估计的算法基础上

简化了判决统计量

从而构成了一种新的快速算法。理论与实验结果表明

本算法比Huang算法速度提高了10倍左右

效果也明显改善。

Abstract

Based on Huang’s maximum likelihood estimating algorithm

the estimation recognition is simplified in this paper

therefore a new fast statistical approach for edge detection is obtained. It is demonstrated theoretically and experimentally that the new approach is ten times faster than Huang’s algorithm

and the final output is improved.

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