Study On The Method Of Segmentation And Analysis Of Medical Cell's Image

This paper mainly discussed the digital image processing techniques in application of lung cell image. Firstly, to process the cell image so as to enhance the quality of the image, the aim of enhancing the cell image is to give prominence to the whole and portion feature of the cell image and improve the effect of vision and the feature of recognition. The method of enhancing the cell image include gray-scale transformation, histogram modification, image smoothing and image sharpening etc. gray-scale transformation adjust the gray-scale of the cell's image and give prominence to the interested area. By use of the method of histogram modification can get the results of equipoise and prescript. The method of image smoothing to process the cell image can eliminate the noises that caused by digital process and transmission and improve the effect of vision. The method of image sharpening give prominence to the edge information of the cell's image and strengthen the feature of contour so as to the extraction of basic feature, at last by comparison the results that were processed by some kinds of method of image sharpening can get which method is suit for this type of cell's image.Secondly, there is a survey about image segmentation method including the cell's image segmentation method, the survey indicate the principle and the characteristic of the segmentation methods. In this paper, the emphasis is the segmentation application of mathematical morphology to binary cell's image and gray-scale cell's image. There is a detailed presentation about the basic theory of binary image mathematical morphology and gray-scale image mathematical morphology. Using the edge modal detection method of binary image mathematical morphology can detect the edge of binary cell's image. In this paper, there is a research about the edge modal detection method of binary image mathematical morphology. As for gray-scale image, using the method of modal grads and Top-Hat transformation can detect the edge of cells. The edge detection method of gray-scale image mathematical morphology was be improvedbecause of the disadvantage. Using the multi-structure and multi-scale operator to process the cell image can not only detect the edge of cell but also effectively reduce the noise. Aim at the conglutination and overlap in cells, researched the method of the opening and closing operation and valley segmentation based on mathematical morphology.Finally, discussed the cell image's analysis. By using the local neighborhood algorithm or the image label algorithm can take count of the number of cells. By extraction and selection of the cell shape feature, using the least distance method and shape method primarily identify and classify the lung cell.