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基于数学形态学的镰刀菌显微图像边缘检测
引用本文:李丽,路小英,赵红梅,陶佳,赵艳.基于数学形态学的镰刀菌显微图像边缘检测[J].农机化研究,2009,31(5).
作者姓名:李丽  路小英  赵红梅  陶佳  赵艳
作者单位:河北农业大学,河北,保定,071001
基金项目:河北省教育厅资助项目 
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.

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

Mathematical Morphology Based on Fusarium Microscopic Image Edge Detection
Li Li,Lu Xiaoying,Zhao Hongmei,Tao Jia,Zhao Yan.Mathematical Morphology Based on Fusarium Microscopic Image Edge Detection[J].Journal of Agricultural Mechanization Research,2009,31(5).
Authors:Li Li  Lu Xiaoying  Zhao Hongmei  Tao Jia  Zhao Yan
Institution:Agricultural University of Hebei;Baoding 071001;China
Abstract: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.
Keywords:fusarium microscopic image  histogram equalization  mathematical morphology  edge detection  pre-processing  
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