Digital Image Processing Techniques For Cell Picture In The Field Of Biomaterials

This paper mainly discussed the digital image processing techniques in the application of platelet adhesion characterization. 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 includes gray-scale transformation, histogram modification, image smoothing and image sharpening etc. Gray-scale transformation adjusts the gray-scale of the cells' image and gives prominence to the interested area. The method of image smoothing to process the cell image 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 basic feature, at last by comparison the result 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' image segmentation method, the survey indicate the principle and the characteristic of the segmentation methods. Aim at the conglutination and overlap in cells, researched the method of the marked erosion-expansion, arc-chord ratio method.Finally, we discussed the cell image's analysis and accomplished the parameter measurement by using chain-code techniques.