| 基于自适应阈值的储粮害虫图像分割算法 |
| |
| 引用本文： | 罗涛华.基于自适应阈值的储粮害虫图像分割算法[J].武汉工业学院学报,2006,25(1):5-8. |
| |
| 作者姓名： | 罗涛华 |
| |
| 作者单位： | 武汉工业学院,计算机与信息工程系,湖北,武汉,430023 |
| |
| 摘 要： | 阐述了储粮害虫图像分割是储粮害虫智能检测识别系统的基础和关键。详细分析了高斯直方图、矩量保持、模糊集、最小误差闺值分割算法在储粮害虫图像中分割的应用。分析比较了这四种算法对特定粮虫图像分割效果的优劣，由此得到最优性能的分割方法。
|
| 关 键 词： | 储粮害虫 图像识别 阈值分割 最小误差法 |
| 文章编号： | 1009-4881（2006）01-0005-04 |
| 收稿时间： | 2005-10-26 |
| 修稿时间： | 2005年10月26 |
INVESTIGATION ON IMAGE THRESHOLD SEGMENTATION METHOD OF PESTS IN STORED GRAIN |
| |
| LUO Tao-hua.INVESTIGATION ON IMAGE THRESHOLD SEGMENTATION METHOD OF PESTS IN STORED GRAIN[J].Journal of Wuhan Polytechnic University,2006,25(1):5-8. |
| |
| Authors: | LUO Tao-hua |
| |
| Affiliation: | Department of Computer and Information Engineering, Wuhan Polytechnic University, Wuhan 430023, China |
| |
| Abstract: | The image threshold segmentation method of pests in stored grain is a base and very important part. The method and their applications of histogram gauss, moments-preserving, fussy sets and minimum-error are analysed in image threshold segmentation of pests in stored grain. The best way in the familiar segmentation algorithms through the in-depth analysis and compare is obtained. |
| |
| Keywords: | stored-grain insects image recognition threshold segmentation minimum-error threshold |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
