Image Retrieval Technology Research Based On Parallel Processing

Content-based image retrieval technology related to computer image processing,computer image recognition and image database, etc. In the large number of digitalimage database improve image searching speed will have to raise the image processingspeed. Because of the image processing algorithm of convolution operation and matrixof multiplication of existence, just as in the process of image processing parallelalgorithm design and realization of possible. Along with the development of highperformance parallel processing system, image parallel processing technology in orderto improve the image processing speed and image retrieval speed provides more space.This paper based on the content of the image retrieval technology as the mainresearch object, focus on the image of the parallel processing technology in theapplication of image retrieval system. This paper first Outlines image parallelprocessing of the algorithm, and expounds the parallel computing model, parallelalgorithm model and parallel computing application in image processing. Then thecontent-based image retrieval theory and methods of comprehensive, this papersummarizes the basic content-based image retrieval process, key technology. The colorcharacteristics, shape features and texture features extraction method, and thesimilarity measure and related feedback technologies. The last to realize image parallelprocessing image retrieval system, the first nuclear the system structure and many ofthe nuclear parallel computing techniques are introduced, and the system used by theparallel programming method.Using the theory and method of the above, in many nuclear multi-threadprogramming environment realized based on parallel processing image retrievalsystem, and through the experiment data validation image parallel processingtechnology improve the system image retrieval speed.