The invention relates to a gray value-based
cell picture splicing method, and the method is characterized in that the method comprises the following steps: (1) shooting and collecting
cell pictures; (2) carrying out color conversion on the
cell picture, and converting the cell picture from an RGB (Red, Green and Blue) channel to a gray channel; (3) removing noisy points from the cell picture through
Gaussian filtering or mean filtering; (4) carrying out
dislocation subtraction on the cell picture to eliminate a brightness difference; (5) randomly selecting a region A on the cell picture, moving a sliding block in the region A for multiple times, calculating the
mean square error of the region A, and finding out a matching region A1 with the maximum brightness change through the
mean square error; (6) calculating a matching error by applying a
template matching method, and finding out a point P with a maximum or minimum difference value according to an error range. The method is simple in
algorithm and wide in application range, the
optimal matching point can be quickly and accurately found, and quick splicing of the cell pictures is realized.