[1]徐,吕建明,沈宪章,等.粮虫检测系统中图像预处理的初步研究[J].郑州大学学报(工学版),2001,22(03):88-91.[doi:10.3969/j.issn.1671-6833.2001.03.027]
 Xu,Lv Jianming,Shen Xianxian,et al.A preliminary study of image preprocessing in grain worm detection systems[J].Journal of Zhengzhou University (Engineering Science),2001,22(03):88-91.[doi:10.3969/j.issn.1671-6833.2001.03.027]
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粮虫检测系统中图像预处理的初步研究()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
22卷
期数:
2001年03期
页码:
88-91
栏目:
出版日期:
1900-01-01

文章信息/Info

Title:
A preliminary study of image preprocessing in grain worm detection systems
作者:
吕建明沈宪章等.
中科院, 郑州大学电气工程学院,
Author(s):
Xu; Lv Jianming; Shen Xianxian; etc
关键词:
粮虫 检测 图像 预处理 平滑 滤波
Keywords:
DOI:
10.3969/j.issn.1671-6833.2001.03.027
文献标志码:
A
摘要:
以粮虫检测系统中图像的预处理环节为研究对象,讨论分析了对比度扩展增强算法、邻域平滑算法以及中值滤波算法,得出对比度扩展增强可以扩大目标灰度的动态范围,邻域平滑对消除随机噪声效果较好,而中值滤波则对去除脉冲噪声很有效,并给出了具体的应用实例.由实验结果可以看出,所选算法能够完成系统图像预处理的任务.
Abstract:
Taking the preprocessing of images in the grain insect detection system as the research object, the contrast extension enhancement algorithm, neighborhood smoothing algorithm and median filtering algorithm are discussed and analyzed, and it is concluded that contrast extension enhancement can expand the dynamic range of target grayscale, neighborhood smoothing has a good effect on eliminating random noise, while median filtering is effective in removing impulse noise, and specific application examples are given. It can be seen from the experimental results that the selected algorithm can complete the task of system image preprocessing.

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更新日期/Last Update: 1900-01-01