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.
出处
《武汉工业学院学报》
CAS
2006年第1期5-8,共4页
Journal of Wuhan Polytechnic University
关键词
储粮害虫
图像识别
阈值分割
最小误差法
stored-grain insects
image recognition
threshold segmentation
minimum-error threshold
