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Research On Red Blood Cell Based On DSP Image Processing Technology

Posted on:2010-01-28Degree:MasterType:Thesis
Country:ChinaCandidate:Z A JinFull Text:PDF
GTID:2178360275998580Subject:Communication and Information System
Abstract/Summary:PDF Full Text Request
In recent years, DSP technology will continue to develop the digital signal processing in the field of theoretical research results into practice the system in the field of medicine. real-time digital image processing technology has a very wide range of applications. Small red identification system based on the patient' s blood samples for the image of the original data, in the VC and DSP software under ring, a series of image processing and analysis of the last identified in the blood of red blood cells, red blood cells are given the same time, the number of automatic identification System for clinical diagnosis based on.The subject of this research aims to integrate theory and dynamic image processing algorithms and mature DSP technology, combined with DSP in biomedical research and applications, designed to develop a set of high-performance, low-cost, high reliability, the DSP software and hardware systems, On the red blood cell collection and real-time image processing, the end of the precise number of red blood cell count. And the DSP system software, hardware design and development process of an in-depth study of DSP technology, dynamic image processing technology and DSP software optimization theory and methods.TI's TMS320C64x is for image processing and communication in the field of application of the launch of a new generation of products. TMS320C64x for real-time image processing to improve the system' s real-time, a more complex algorithm to reduce system size and power consumption is of great significance. First of all issues on the DSP chip TMS320C6418 and image processing technology, provides an overview of real-time image processing system in order to CCS and Visual C++ for development tools, real-time image processing algorithm.
Keywords/Search Tags:image processing, DSP, thin red identification system, TMS320C64x
PDF Full Text Request
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