Real-time Image Processing In Medical Applications

This thesis bring forward a method to realize real-time image processing without using DSP but using high quality image grabber instead. Based on this technology, an automatic analysis and processing system, which can take the real-time record of the pulsation of myocardial cells growing in the culture flask, is designed and has been applied in the medical field already.The thesis is divided into 4 sections: Section I gives a detailed examination of the techniques relevant to real-time system developing under WINDOWS. This section also includes the operating principles of image grabber and CCD camera, an elaborate explanation of the concrete procedures of real-time image processing realized by image grabber Meteor I] and Domino-Mini, and an empirical summary on the real-time image processing realized by these high-quality image grabber. Section II attempts to introduce the significance of dynamic image processing and the oft-adopted methods. We focus our attention on how to process image with difference and bring forward a method analyzing the movement properties of the myocardial cells image sequences by the means of improving it. Finally, we provide an analysis of the experimental data with the pros and cons report followed. Section III begins with the principles of correlation tracking in image sequences, and then improves former swift correlation algorithm and achieves location precision of sub-pixel by using least-square-surface-fit method. Thus we manage myocardial cells image sequences with correlation and finally offer an analysis of the experimental data and the conclusion as well. Section IV studies the applications of optical flow in dynamic image processing and demonstrates the results in first stage. In this section, we also illustrate a system with a friendly users interface we developed with Visual C++ 6.0, which proves to be capable of running stably under Windows 2000/NT. A class encapsulating functions of image grabber is designed, too.Experiments show that the system can well meet the real-time requirements of image processing and the results of the processing of the image of myocardial cells order are also satisfactory.