A Research On A Platform For The Disposal System Of Iamge And Gray Linear Image Processor

With the progress of large-scale integrated circuit, technique of computer network and technique of multimedia correspondence, the technique of image has been developed explosively. The disposal of digit image has become the study and research subject of engineering, computer science and biology and has been applied to the correspondence, war, public security and exploring in the universe. This task is aimed to construct a platform based on the teaching and scientific research for disposal of image and to offer a complete and low-priced system for disposal of image.This task includes a series of basic' handling course of absorbing and preserving the image, image's flat moving, intuitionistic picture, sharp changing, edge extracting, analyzing and describing the image and the change in the frequency range. In order to relate theory with practice, this task made an elementary research on the discrimination of fingerprint, character and some linear images else with the purpose of constructing a machinery system which can deal with some information automatically and can replace the human being to finish the job of classification and discrimination. And that system has a great help especially for the safeguard and solving cases. Aimed at advancing the speed of extracting the key characters, improving the veracity, cutting down the cost of time and space, this task put forward a new template thinning algorithms after analyzing the principle, disadvantages and advantages of many thinning methods including condition thinning, template thinning and thinning in morphology maths. This algorithm with good collection has less thin-hair, and avoid excessive erosion.On one hand, this task made use of VC6.0 to deal with the gray image which was collected by Daheng VIDEO_PCI_XR CARD on the Windows operation platform through the way of interface; on the other hand, it made some researches and the realization of technique on the meeting joint of the function in Matlab engine and the disposal system of digit image. As a result, it can successfully transfer the image of Matlab to handle the function in V.C6.0 and make a comparison on time and effect with the result made in V.C6.0.