Medical Microscopic Cell Image Extraction And Segmentation Techniques

With the rapid development of computer image technology, medical image management has changed from manually to cyber-detection gradually. As an accessorial medical software, medicinal micro-cell automatic detection system becomes a new product result from the combination of image technology and medical field. In clinic, medicinal micro-cell automatic detection system can identify the cells in the cell image and give the result quickly, so it saves a lot of time.To pick up image characteristic is a difficulty all the time, especially when the image is illegible. How to improve this question is a bottleneck in image technology recently. The medicinal micro-cell automatic detection technology the thesis refered is also have some problems such as effect in image noise, image pick-up, overlapped dividing and so on.The thesis gives up a auto-detection method based on other people. It divides the process with 4 steps, including image pretreatment, image cell pick-up, overlapped cell dividing, cell information count and fixture.Image pretreatment means a series of work after open the image, including space filter enhancement, color space transition, gray result management and so on. The system uses median filter on space filter enhancement, and gives out the result after using median filter technology. It analyses the importance of space filter enhancement from compare the result from the image from using median filter technology to not using median filter technology.Image cell pick-up means pick up the target in the image. This part introduces the basic theory of the technology of cells pick-up the thesis used first, and analyses the disadvantage of traditional technology. Then the thesis puts forward a new algorithm for picking up object based on threshold, and gives out the result in experiment.Overlapped cell dividing means divide the target after picking up in the image. This part introduces watershed technology and the advantage in using watershed technology first. Then the thesis analyses the disadvantage of traditional watershed technology, and puts forward a new overlapped cell dividing method based on watershed. At the end of this part gives out the result in experiment.Cell information count and fixture mainly calculate the information after cell dividing. Cell information count includes cell count, cell morphologic count, cell color count and so on. Cell fixture manly introduces hole fill technology. The thesis uses both fill technology before cell picking-up and after cell picking-up and have a good effect.The thesis improves the two key steps, including image cell picking-up and overlapped cell dividing, in the whole system, and has a good effect. They are keystone of the thesis.