Biomedical Microscopy Image Processing And Research

Microscopic image widens human's eyesight, and provides the way to acquire the fine organizational information. So it is a very important subject to research and analyze the features of these images. The thesis researched the image processing and analysis methods fit for the microscopic images gotten by the digital microscope and laser scanning confocal microscope. The content of the thesis includes the following:1. Discussed the optical imaging principle of the digital microscope system and the laser scanning confocal microscope system. Improved the ordinary optical microscope by equipping the imaging collection device and programming image cards.2. Discussed the common image pre-processing methods which were used in the microscopic image processing system. These methods include image gray-scale enhancement, image sharpening, image filter, image pseudo-color processing.3. Systematically introduced the basic principles of the image degradation and the two classic image restoration methods. The approximate expressions of point spread functions in typical conditions were given.4. Discussed several image restoration methods suited to the microscopic images, and computer simulation results were given. Improved on the Alternating Minimization Algorithm for blind deconvolution, and then it was successfully used in the microscopic image processing system. Introduced the causes of motion image blurring and geometric distortion and the methods to deblur.5. Finally, designed the image collection, processing and analysis software of digital microscope system and laser scanning confocal microscope system. And commercialized the digital microscope system.