CT Image Edge Detection Based on Improved Canny Arithmetic Operator

ZHANG Zhishun; XI Jianqing; LIU Yong

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CT Image Edge Detection Based on Improved Canny Arithmetic Operator

更新时间：2026-09-04

- CT Image Edge Detection Based on Improved Canny Arithmetic Operator
- Vol. 30, Issue 9, Pages: 9-12(2013)
- 作者机构：
  
  1. 嘉应学院机构医学院,广东,梅州,514031
  2. 华南理工大学软件学院,广东,广州,510006
  3. 华南理工大学计算机科学与工程学院,广东,广州,510006
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2013
- 稿件说明：
移动端阅览
张志顺, 奚建清, 刘勇. 基于改进Canny算子的CT图像边缘检测[J]. 微电子学与计算机, 2013, 30(9): 9-12.

ZHANG Zhishun, XI Jianqing, LIU Yong. CT Image Edge Detection Based on Improved Canny Arithmetic Operator[J]. 2013, 30(9): 9-12.
张志顺, 奚建清, 刘勇. 基于改进Canny算子的CT图像边缘检测[J]. 微电子学与计算机, 2013, 30(9): 9-12. DOI：

ZHANG Zhishun, XI Jianqing, LIU Yong. CT Image Edge Detection Based on Improved Canny Arithmetic Operator[J]. 2013, 30(9): 9-12. DOI：

摘要

结合CT图像的特点，在传统Canny算法的基础上提出了改进的Canny算法。该算法先用基于GCV准则的阈值函数平滑去噪，在得到非极大值抑制图像后用Otsu法自适应设定高低阈值，并用形态学结构元素细化边缘。实验证明，该方法能有效解决常见边缘检测算法对去除噪声和获取精细边缘之间的矛盾，使伪边缘现象大为减少，从而获得了比较理想的边缘检测效果，为提高医生诊断病情的准确率打下了良好的基础。

Abstract

In this paper

to address these issues

we propose an improved Canny algorithm based on traditional Canny algorithm.Firstly

we denoise smoothly by threshold function which is based on GCV criteria.Then we set high and low thresholds adaptively with Otsu after getting non -maximum suppression image.Finally

we refine the edge by using morphological structure element.Experiments show that our algorithm can get relatively ideal margin detection effects and avoid the shortages mentioned above

which will lay a good foundation for improving disease diagnose.

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