基于灰度邻域操作的缺陷图像消噪分析与实现

Analysis and Implementation of the Defect Image Denoising Based on Gray with Neighborhood Operation

以图像中的噪声影响下一步图像处理、分析及识别为启示,分析了常用的数字滤波算法优缺点,提出了基于MATLAB的灰度邻域操作消噪方法。该方法将灰度化的缺陷图像,利用相邻像素间的颜色分布对图像进行平滑、增强、边缘提取、滤波、恢复。仿真结果表明,这种算法在高斯噪声和椒盐噪声滤波方面能有效地滤除噪声,同时还能较好的保护图像细节,较准确的复原受噪图像特征。

The noise will affect the next step of image processing, analysis and recognition for inspiration, after an- alyzing the adv antages and disadvantages of traditional digital filtering method,this paper proposed an improvement method based on gray with neighborhood operation denoising algorithm, According to the color distribution between the adjacent pixels, the gray of the defect image is smooth, enhancement, edge extraction, filtering, recovery. The simulation results demonstrate that this theory can effectively filtering gaussian noise and salt and pepper noise, at the same time well protect the image details. It can more accurately recover the features of the noise image.