Study On Leucocyte Micrograph Recognition

The amount and quality of leucocytes is a important gist in the clinical diagnosis. The measure of blood cells in most domestic hospital relies mainly on manual operation at present, It is influenced by various kinds of human factors, so the examination qualities of the leucocytes are partly effected, and the examination efficiency of the leucocytes is effected too.The application of computer image processing and neural network can greatly improve the analytical efficiency of leucocytes. This paper discussed the structure and performance of automatic classifies system of leucocytes. The system is composed by microscope, microcomputer and chromatic CCD camera, it use the technology of digital image processing and neural network theory to realize automatic classifies of the leucocytes.The main work of the paper is study on the analysis and the recognition system of leucocytes micrograph. The technology of computer control and embedded, theory of digital image processing, wavelet, mathematics morphology, and neural network pattern-recognition, are applied on the system. Around several key problems, which analytical system of leucocytes micrograph is of information and automatization, have studied on the following aspects: 1.Design automatic classifies system model of blood cell, which is based on imaging of colored CCD camera and computer control. 2.Realize the localization and examined out of the blood cell and the area cutted. 3.Using mathematics morphology on the abstraction of chromatic light density and veins characteristic of the blood cell image. 4.Using BP neural network on setting up recognition classifying device of leucocytes images, and then train it. 5. The design of microscope's NC platform control system Based on the embedded Linux. The paper has analyzed deeply on the difficult point of the theory and practical application, and acquired some creation in the following aspects.The paper has studied the image analysis system based on the Linux operationsystem. Using the open and agility of the Linux we have simplified the system's kernel and improved the system's reliability and stability.To analyze the leucocytes image by using wavelet, we bring forward the idea of detecting leucocytes' karyon. Through analyzing deeply, we realize the fast-time leucocytes image detection.In this paper we have used the watershed segmentation arithmetic of mathematics morphologic to analyze and mark the sequential and similar gray target image. As a result, resolved the difficult problem that general technology of digital image can't detect leucocytes' edge of overlapping cells, which has creative meaning in the edge segmentation technology of leucocytes plasm.The paper discussed the disposed flow of image recognition system, and designed the interface communication of the control system that are master and slave computers based on the Linux platform, then embeds the control programs into the system hardware. All of them can greatly improve the control precision and the response rapidity of system.Microscope NC platform of this system has been finished. It has putted into production in Guangzhou optical instrument factory. Proved by the analyzing theory and practical application, the system is of applied value.