Aiming at the problem of high computational complexity in the process of the optimal entropic threshold image segmentation algorithm

propose an image segmentation algorithm based on link-like competition genetic algorithm for optimum entropy thresholding method

i. e. KSW entropy（ L-GA-KSW）. In the process of algorithm realization

feature selection process is realized by introducing the chain competition of 3 neighboring chains into the framework of conventional genetic algorithm; then

the improved genetic algorithm is applied to the optimal threshold image segmentation algorithm to achieve threshold optimizing. Simulation results and analysis show that the algorithm is superior to the traditional image segmentation algorithm and the simple genetic optimization threshold image segmentation algorithm in segmentation speed and effect.