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 X1

X2 and X3. Using 2 norm X i-X 2 we reated 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.