Comparative Study of Different Edge Enhancement Filters in Spatial Domain for Magnetic Resonances Images

摘要

Enhancement of edges in an image is a very important step towards understanding image features. The edges often occur at image locations representing object boundaries; edge enhancement is extensively used in image segmentation when images are divided into areas corresponding to different objects. This can be used specifically for enhancing the tumor area in medical imaging. Edge Enhancement is a fundamental tool, which is commonly used in many image processing applications. This process detects boundaries between different regions in the image. An edge enhancement filter can be used to improve the appearance of blurred images or video streams. Edges characterize boundaries and are therefore a problem of fundamental importance in image processing. Image edge enhancement significantly reduces the amount of data and filters out useless information, while preserving the important structural properties in an image. The edge enhancement is in the forefront of image processing for object detection, it is crucial to have a good understanding of edge enhancement algorithms. After segmenting an image the edges should be enhanced for better visualization of the segmented output. The edge enhancement has been an active area of research for more than 4 decades, many effective methods have been proposed such as gradient edge detectors, zero crossing, Laplacian of Gaussian (LOG), and Gaussian edge detectors. In this paper the comparative analysis of various Image Edge enhancement techniques for MRI image of both brain and breast is presented for effectively sharpening blurred images. Experimental results demonstrate that the performance of these edge enhancement filters in which unsharp filter is superior to that of other sharpener-type filters.