Parallel and Serial Control Strategies of Image Understanding

Many image processing tasks exhibit a high degree of data locality and parallelism and map quite readily to specialized massively parallel computing hardware. Parallel distribution of image file reduces the complexity and increase the capability of image enhancement. Image understanding and computer vision are two closely related multidisciplinary research fields concerned with the use of computer algorithms to modify or analyze digital images using signal and image processing, machine learning, and artificial intelligence techniques in order to achieve certain tasks or applications. One of the main goals of image understanding and computer vision is to duplicate the abilities of human vision by electronically perceiving and understanding an image. Image understanding algorithms are required to solve more practical applications. In this paper we represent serial parallel control strategies to handle digital images in a optimized way.