CAJ | 학술논문

针对单阈值图像分割方法在求取比较复杂的图像时效果不理想及粒子群算法容易陷入局部最优且速度较慢等等问题,提出了基于混沌粒子群优化算法的多阈值图像分割方法.该方法利用混沌运动随机性、遍历性和初值敏感性,将混沌粒子群优化算法与多阈值法相结合作全局搜索,实验结果表明了基于混沌粒子群优化算法的多阈值图像分割法用于阈值寻优减少了搜索时间.并且运行时间不随阈值数目的增加而显著增加.
침대단역치도상분할방법재구취비교복잡적도상시효과불이상급입자군산법용역함입국부최우차속도교만등등문제,제출료기우혼돈입자군우화산법적다역치도상분할방법.해방법이용혼돈운동수궤성、편력성화초치민감성,장혼돈입자군우화산법여다역치법상결합작전국수색,실험결과표명료기우혼돈입자군우화산법적다역치도상분할법용우역치심우감소료수색시간.병차운행시간불수역치수목적증가이현저증가.
Due to the problems of the single threshold image segmentation method isn't ideal,the particle swarm optimization algorithm is easy to fall into local optimum,and the speed is slow,a multi -threshold method of image segmentation based on chaotic particle swarm optimization algorithm is proposed to solve the optimization problems.By using randomicity,ergodic and initial value sensitivity of chaos, chaotic particle swarm optimization algorithm is combined with multi-threshold method.The experimental result indicates multi-threshold method of image segmentation based on chaotic particle swarm optimization algorithm reduces the searching time,and the operating time doesn't significantly enhance with the increase number of threshold.