基于灰色理论的储粮害虫图像边缘检测方法

J4 ›› 2010, Vol. 45 ›› Issue (3): 41-44.

基于灰色理论的储粮害虫图像边缘检测方法

张卫芳,郭敏, 马苗

陕西师范大学计算机科学学院, 陕西西安 710062

收稿日期:2009-11-10 出版日期:2010-03-16 发布日期:2010-04-02
作者简介:张卫芳(1982-),女,硕士研究生,研究方向为图像处理.Email: fangfang-zf@stu.snnu.edu.cn
基金资助:
国家自然科学基金资助项目(10974130, 60803088);陕西省教育厅科研计划资助项目(08JK283)

Method of edge detection for stored pests images based on the grey theory

ZHANG Wei-Fang, GUO Min, MA Miao

School of Computer Science, Shaanxi Normal University, Xi’an 710062, Shaanxi, China

Received:2009-11-10 Online:2010-03-16 Published:2010-04-02

摘要/Abstract

摘要：

首先确定参考序列和比较序列,然后计算以各像素为中心的比较序列与参考序列的灰色关联度,将其与选定阈值作比较,最终判断该点是否为边缘点。与传统边缘检测算法相比,该方法对256灰度级粮虫图像能检测到连续、有效的边缘信息,且能较好保留图像细节信息,对二值含噪图像具有较强抗噪性。

关键词: 储粮害虫;边缘检测;灰色理论

Abstract:

The reference and comparison series were defined, and the relevant coefficients between them were calculated to every pixel, then the image’s edge detection were known from comparing the relevant coefficients with the threshold chosen. This algorithm could detect the continuous and effective edge and the image detail information for 256 grey-level images compared to traditional edge detection algorithms, and it also has better anti-noise ability for binary images added in noise.

Key words: stored pests; edge detection; grey theory

张卫芳郭敏马苗. 基于灰色理论的储粮害虫图像边缘检测方法[J]. J4, 2010, 45(3): 41-44.

ZHANG Wei-Fang, GUO Min, MA Miao. Method of edge detection for stored pests images based on the grey theory[J]. J4, 2010, 45(3): 41-44.

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