Boundary Detection Using Edge Following Algorithm and Enhancement of the Image

Image processing is any form of signal processing for which the input is an image, such as a photograph and the output of image processing may be either an image or, a set of characteristics or parameters related to the image. Finding the correct boundary in images is still a difficult task. Boundary detection constitutes a crucial step in many computer vision tasks. A boundary map of an image can provide valuable information for further image analysis and interpretation tasks such as segmentation, object description etc. Even though the boundary is detected for the object it cannot be distinguished clearly. The minute objects or tissues present in the object cannot be viewed clearly if the object is in small size in the image. The input image taken into consideration for the implementation of the project is a set of medical images for which the boundary is to be detected. The proposed method is to detect the boundaries of objects in medical image by the new edge following algorithm using the magnitude, direction, edge map and density of the edges bounded to the object and to crop the detected object and enlarge it so that the smaller objects inside the detected object can also be viewed. But when the object is enlarged some new pixels are added to the image so that the edges of image is not sharp and clear because it has blurry effect on it and therefore the blur effect is removed from the enlarged image and produces a high resolution image from the copies of low resolution image so that the smaller objects can also be viewed clearly and sharply.