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Knee injury is one of the most common injuries in sports activities or events. Failure to detect it would jeopardize the athletes' future. Knee image processing is studied for the development of an aided system to identify knee inj using their naked eyes. This increases the possibilities for false analysis. To overcome the problem, this study aims to develop an intelligent system system to assist the medical experts in making decisions to decide on the types of ACL knee injury. The end results in the identification of ACL injury is in the form of a classification based on crucial tear (CT), partial tear (PT) on comparison between the system and medical experts' opinion reveals an accuracy of 92%. diagnosis system, image processing, magnetic