Distributed Prewitt Edge Detection System Using Lightness of Ycbcr Color Space

Abstract

Recently, image processing has been widely used in the medical field. This field helps to increase the accuracy of medical diagnosis, which helps in the early detection of diseases and increases the accuracy of prescribing treatment. Where it is noted that most medical devices such as sonar that are used to take pictures of body parts may give blurred images, which leads to the need for digital image processing techniques to increase the clarity of these images, which gives an accurate description of the examined part of the body. Speed is also one of the most important criteria for measuring the quality of any system, especially in the critical matters, including the medical field, where speed and accuracy of diagnosis are very important for immediate decision-making. To ensure the best speed and the most accurate result, it is better to distribute this process and use more than one processing unit for digital image processing. In this paper, a system was presented that detects the edges of medical images by relying on edge detection processing technology and taking advantage of the field of distributed systems to obtain results at high speed and accuracy. Matlab 2015 environment was used to simulate the system, and the results showed high accuracy in edge detection and high speed to obtain the results.