Medical Image Denoising using Non-Linear Spatial Mean Filters for Edge Detection

—All medical image processing techniques need to extract meaningful information from medical images. However, the noise generated during image acquisition and transmission degrades the human interpretation, or computer-aided analysis of these images. Therefore, denoising should be performed to improve the image quality for more accurate analysis and diagnosis. In this paper we propose a medical image denoising technique using three spatial mean filters and the performance of these filters are evaluated using the Canny edge detector by computing the edge image difference between the original and the denoised image.