The System Of Recognition And Statistic Based-on Cellular Medical Image

With the development of science technology, especially the information technology, image processing technology has been the indispensable important tool for science research. Since last century 60s, computer image processing had processed the image which transferred from moon in the aspect of spaceflight. So far, it has been applied in every walk of life, every subject. For instances, image teleprocessing for major posture of climate, geography chart protract, geologic reconnaissance, agricultural production, forest resource investment, ocean reconnaissance etc. Another representative application is for medical engineer. One side, micro image processing in analysis Statistic of red cell, and another side, medical image has been the one of fastest development of medical technology in last two decades, and it lead to the doctor can observe more directly, clearly, accurately to the disease target. In 70s 20 century, XCT has aroused a revolution in medical image. At the same time, MRI, ultrasound tomography, digital radial photography, emissive computer tomography and PET has developed gradually. As the base of these technologies, computer and medical processing technology is driving the profound revolution of medical diagnosis. Medical diagnosis and treatment technology makes great efforts under these new methods. At the same time, kinds of tomography technology can make a mutual supplement, and provide powerful scientific prove for clinic diagnosis. According to the above, medical image processing has been attached much attention in all circle of specialists.This issue is a typical application in medical engineering. This issue aims at medical cellular image to explore the arithmetic of recognition and statistic. With the hope that finds out the methods about improving on recognition and statistic, and can apply in larger respects and more kinds of images, quicken the calculate speed, and control the error in the required range strictly.