一种新小波图像降噪方法在农业采摘中的应用

机器人在田间采摘果蔬过程中必然受到多种图像噪声的影响,在利用小波进行图像降噪时,出于最大限度保存图像信息考虑,阈值的选择是一个最重要的环节。提出一种新的基于小波变换的非线性阈值函数,这种函数兼顾了最优阈值和阈值函数这两个降噪的最重要因素,从而获得最佳的效果。试验证明,这种方法降噪效果良好,与传统的软阈值、硬阈值函数相比,不仅提高了去噪后图像的峰值信噪比（PSNR）,而且在视觉上也更加清晰。

Application of a New Method of Wavelet Image Denoising in Agriculture Picking

In the process of picking fruits and vegetables in the field,robots may be subjected by a variety of image noises.During the process of image denoising with wavelet,threshold choice is the most important part in order to store the image information to the maximum extent.A new wavelet-based nonlinear threshold function was proposed.This function considered two most important denoising factors of the optimal threshold value and the threshold function,thus the best effects were obtained.Experiments showed that...