Erythrocyte image edge detection based on gray mathematical morphology

HU Li-qin; SONG Li-mei

doi:10.13873/j.1000-97872009.03.007

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Erythrocyte image edge detection based on gray mathematical morphology

更新时间：2025-09-11

- Erythrocyte image edge detection based on gray mathematical morphology
- Vol. 28, Issue 3, Pages: 98-100+107(2009)
- 作者机构：
  
  西南科技大学信息工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872009.03.007
  CLC： R318.5
- Published：2009
- 稿件说明：
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[1]胡丽琴,宋丽梅.基于灰度形态学的红细胞图像边缘检测[J].传感器与微系统,2009,28(03):98-100+107.

HU Li-qin, SONG Li-mei. Erythrocyte image edge detection based on gray mathematical morphology[J]. 2009, 28(3): 98-100+107.
[1]胡丽琴,宋丽梅.基于灰度形态学的红细胞图像边缘检测[J].传感器与微系统,2009,28(03):98-100+107. DOI： 10.13873/j.1000-97872009.03.007.

HU Li-qin, SONG Li-mei. Erythrocyte image edge detection based on gray mathematical morphology[J]. 2009, 28(3): 98-100+107. DOI： 10.13873/j.1000-97872009.03.007.

摘要

边缘包含了图像很多重要的信息

边缘检测的好坏也直接决定了后续处理的效果。在利用数学形态学进行边缘检测后

会出现不需要的边缘

形成噪声。针对这种情况

提出一种计算中心像素与邻域像素均方差的方法对形态学边缘检测算子进行改进

该方法可以有效减少噪声

为以后对红细胞图像进行特征提取和分类打下良好的基础。

Abstract

The edge contains some important informations and the edge detection method decides the results of following processes.After normal mathematical morphology edge detecting

it will appear a lot of edge noises.An effective method of edge detection is put forward and is experienced.According to calculation of the mean square deviation between center and neighbor pixels

the real edge is found out.Then whether or not using mathematical morphology is decided.This method can decrease noise effectively and lay a good foundation for feature extraction and classification of the erythrocyte image.

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references

基于多结构元素的数学形态学图像边缘检测 [J]. 王新,黄兆云. 计算机工程与应用 . 2008(07)

灰度形态学在图像分析方面的应用 [J]. 王果,段汕. 软件导刊 . 2007(19)

红细胞形态特征统计分布及计算机图像分析方法研究 [J]. 郝葆青,罗教明,尹光福,郑昌琼,郑翊. 生物医学工程学杂志 . 2000(04)

小波分析及其应用[M]. 电子工业出版社 , 李弼程,罗建书编著, 2003

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