A parallel algorithm for finding the human face in the image

Abstract

It is well-known that anyone who processes and analyzes image information needs a large amount of memory for storing images. For example, for storing a standard TV frame, if two of the three colors contain 2 bits for each of the 3 bits, the memory of at least 512×512 bytes is required. A passport image must be at least 64×64×64 bits (this requires more space than any other passport data). The problems associated with storage, search, and discovery are made more complex by processing and analyzing large numbers of images. The image contains a large amount of information, so it is natural for them to have excessive statistical, psychovisual and content information. Due to this redundancy, the process of digital image processing, image retrieval time, and storage capacity increase. The use of parallel technologies in digital processing of images plays an important role in solving the above problems. Therefore, the article presents an algorithm for calculating the process of extracting a human face from a color image using MPI technology.