基于自适应阈值的储粮害虫图像分割算法  

INVESTIGATION ON IMAGE THRESHOLD SEGMENTATION METHOD OF PESTS IN STORED GRAIN

作　　者：罗涛华[1] 

机构地区：[1]武汉工业学院计算机与信息工程系,湖北武汉430023

出　　处：《武汉工业学院学报》2006年第1期5-8,共4页Journal of Wuhan Polytechnic University

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、最小误差阈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。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.

关 键 词：储粮害虫 图像识别 阈值分割 最小误差法 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]