The invention discloses a gel
protein partitioning method based on
fuzzy clustering. The method comprises the steps that first, images are filtered, and the
contrast ratio of the images is enhanced; second, the number of clustering categories, weighted indexes, an iteration termination threshold value, the maximum number of iterations and an initial clustering center are initialized; third, a radial width value in a kernel function is calculated; fourth, a membership matrix and a clustering center are updated; fifth, whether an
absolute difference value of the current new clustering center and the last clustering center is smaller than the iteration termination threshold value or whether a current value of an iteration counter is greater than the maximum number of iterations is judged through comparison, if yes, the process is stopped, a final membership matrix and a final clustering center are output, and the sixth step continues to be executed, or else the fourth step continues to be executed after the iteration counter adds one; sixth,
defuzzification is performed to obtain an optimal partitioning result. Through the method,
noise eliminating ability is improved, relatively weak
protein spots can be separated, and consequently more
protein spots are separated; moreover, the method has a good separation effect on lightly-overlapping protein spots and has high partitioning precision.