Find Edge Map for Medical Images Based on Texture Characteristics

Finding the edges of the images is an important process, especially medical images, to access the image data accurately to find the objects in the image, especially in the analysis and diagnosis processes Detecting edges in noise images is still a very difficult process. Several methods have been introduced to solve the problem, such as Sobel, Prewitt, and canny, but it is still difficult to process noisy images. The current research presents a proposed system designed to detect edges in a medical image and has been applied to medical MRI images. The proposed system consists of two phases, the first phase is the initial processing phase and this process aims to prepare the image for the processors, the second stage of the proposed system, it is the edge detection stage. The edges of the images entered into the system are detected by finding an edge map, and depending on the texture characteristics of the image, as the method used for edge detection is the Laws method and according to the following steps: 1. Create two-dimensional filters.2. The process of circumventing images and laws filters. The efficiency and effectiveness of the proposed system were analyzed through the results of experiments that showed that the performance of the system is very good and gives excellent and accurate results, by comparing the results of the proposed system with traditional methods of edge detection. Results like sobel, prewitt and canny showed that the proposed system gives a better and faster performance.