基于数学形态学的镰刀菌显微图像边缘检测  

Mathematical Morphology Based on Fusarium Microscopic Image Edge Detection

作　　者：李丽[1] 路小英[1] 赵红梅[1] 陶佳[1] 赵艳[1] 

机构地区：[1]河北农业大学,河北保定071001

出　　处：《农机化研究》2009年第5期48-50,54,共4页Journal of Agricultural Mechanization Research

基　　金：河北省教育厅资助项目(2006433)

摘　　要：用计算机进行图像分割是图像识别和图像分析的基础。为此,根据镰刀菌显微图像的独特特性,在分析综合传统的图像增强和图像分割算法的基础上,将直方图变换与数学形态学相结合,提出了基于形态学的镰刀菌显微图像边缘检测方法,并通过实验证明,该方法能够有效抑制显微图像的噪声、提高检测精度和保护边缘细节。According to the unique characteristics of fusarium micro-image,the edge detection by combining histogram equalization with mathematical morphology is presented while analyzing the classical image enhancement and segmentation algorithm for image pre-processing.It is demonstrated that the edge detection presented in the paper can effectively reduce the noise and improve correct degree and can also finely protect the edges of objects images.

关 键 词：镰刀菌显微图像 直方图变换 数学形态学 边缘检测 图像预处理 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]