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蚕茧图像滤波效果定量分析
引用本文:梁军圣,方华,田敬北,符冬. 蚕茧图像滤波效果定量分析[J]. 安徽农学通报, 2013, 0(21): 22-24
作者姓名:梁军圣  方华  田敬北  符冬
作者单位:广西科技大学电子与信息工程学院,广西柳州545000
摘    要:基于OpenCV和C++,采用均值滤波、中值滤波和高斯滤波3种方法对采集到的多幅蚕茧图像进行降噪处理,通过计算峰值信噪比(PSNR)和均方误差(MSE)进行定量分析,结果表明,采用3×3模板的高斯滤波算法适用于蚕茧图像的降噪处理。

关 键 词:蚕茧  滤波  PSNR

Quantitative Analysis of the Filtered Effect for Cocoon Image
Affiliation:Liang Junsheng et al. (College of Electric and Information Engineering,Guangxi University of Science and Technology,Liuzhou 545006, China)
Abstract:Based on OpenCV and C++,we use three methods of the mean filter,median filter and gaussian filter to do noise reduction processing for collected several cocoons image ,by calculating the peak signal-to-noise ratio (PSNR)and mean square error(MSE)for quantitative analysis. The results show that the gaussian filtering algorithms with 3×3 template is suited for cocoon image noise reduction processing.
Keywords:Cocoon  Filter  PSNR
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