Microscope Digital Image Processing and Its Application in the Modality Analysis of Blood Cell
显微图象的数字图象处理及其在血细胞形态分析中的应用

This paper introduced the application of the microscope digital image processing in the modify analysis of blood cell. We deal with the blood cell by the method of digital image processing, and have also thought over the processing step of concerned pattern recognition, so that, we can use the computer voluntarily to judging and distinguishes for the microscope of cell. The viewpoint of artificial intelligence has still been thought over in this paper, for that, the computer have the character of learning, this makes that its recognition result possesses reliability. After we pro processed the digital image of blood cell, by comparing between the round degree, rectangle degree and center quadrature of the geometrical modality, we can get the eigenvectors of the different blood cell, we have discussed their reliability. We calculated the above geometry characteristic from the 56 examples cell samples (every sample includes three kinds of blood cells, and counts 168 images), and by standardization based the standard difference, we computed all values of characteristic weight, finally we got the characteristic vector of three kinds "classification", that are X 1,X 2 and X 3 . Using 2 norm X i-X 2 we created the distinguish function. By train computer to remember the cell characteristic of new kind of cell, we have pledged to differentiate correctly the known classification, and have pledged to distinguishing correctly the new classification.