摘要
提出了用小波变换检测储粮害虫图像边缘的方法,这种方法通过对二维小波变换图像局部极大值的检测得到图像的边缘信息.计算表明,将二维小波变换应用于储粮害虫的图像去噪和边缘检测,不仅可以保留图像的边缘特征,视觉效果好,还可以得到较清晰的粮虫特征图像,为粮虫图像特征提取打下了良好的基础.
A method to detect the image edges of the images of pests in stored grain is proposed by using wavelet transform, in which the information from the image edges was selected by detecting the local maxima of the image through two-dimension wavelet transform. The computation results show that this method may not only keep the characteristics of the image edge, but also obtain the clearer L image of pests in stored grain to pick up the image characteristics of pest in stored grain effectively.
出处
《华中科技大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2007年第8期24-26,共3页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金
湖北省自然科学基金资助项目(2003ABA053)
武汉市青年科技晨光计划资助项目(20035002016-09)
湖北省教育厅青年基金资助项目(Q200618002)
关键词
粮虫图像
图像处理
小波变换
边缘检测
image of pests in stored grain
image process
wavelet transform
edge detection
