Development of Gaussian filter for Preserving Edge by Edge Template

Making image filters through only the Gaussian function even if the image is blended to reduce interference or disappear, but the result will lack one important feature of the image that is sharpness. This article, therefore, presents a way to spread the image that is based on the Gaussian filter but still possesses sharpness. The method is to check at any location that wants to filter images, and the system will compare with the template of the created image. To decide the mask adjustment from the Gaussian Function in order to be suitable for the data to be filtered When examining and deciding which image edge is from the system, the mask will be applied through the adjustment to match the appropriate edge angle data. And for any position that does not match the image edge, will spread the image as normal, which the results of the proposed method will result in Gaussian image filtering function but still maintaining the edge of the image.