A dynamic analysis system for textured images using multiprocessors

Vision computing involves the execution of a large number of operations on large sets of structured data. The need for very high speed processing in image processing means parallel architectural solutions have to be explored. In this paper we propose the development of a dynamic texture analysis system using a multiprocessor system MEAP. The project is aimed to recognize and delineate the texture of image regions with robustness and reliability at less computation cost. Based on the successful prototype texture analysis system previously implemented sequentially by us, the system is expected to be flexible for parallel extension with a multiprocessor. The dynamic approach detailed involves a mask tuning scheme for the establishment of a rotational and scale invariant texture classification system in parallel