改进门限中值滤波算法在水果图像噪声中应用研究

针对目前水果深加工产生水果图像检测算法中存在图片失真的问题,提出了一种改进门限型中值滤波算法;首先,该算法通过恰当改变门限阈值,利用均值和标准差的和,可以有效保留图像的细节和边缘信息,能够有效的去除水果图像的噪声;其次,经过多组仿真实验并对比普通的中值滤波方法,可以明显的观察出改进后的中值滤波算法有较好的效果;最后,根据大量的数据对比分析与比较,结果表明:该算法能有效的去除噪声并且保留了图像细节,比较其他中值滤波更好。

The Improved Threshold Median Filtering Algorithm Applied in Fruit Image Noise

In order to solve the problem of image distortion in fruit image detection algorithm , an improved threshold median filtering algorithm is proposed. Firstly, The algorithm can effectively remove the noise of the fruit image by using the mean and standard of the threshold, which can effectively preserve the details of the image and the edge information. Secondly, After several simulation experiment and comparison of common median filter method,it is obvious that improved median filter algorithm has a good effect;Finally, According to a large amount of data analysis and comparison, the results show that the algorithm can effectively remove the noise and protect the image details, and the normal median filter is better.