基于遗传算法的模糊熵图像分割算法

图像阈值分割技术在图像分析和图像识别中具有重要的意义。图像分割的鲁棒性和自适应性一直是该技术的难点 ,该文运用模糊熵阈值分割技术 ,算法鲁棒性好 ,自适应性强 ,能够针对不同的图像 ,给出最佳的分割效果 ,在最优阈值的搜索中 ,引进了具有鲁棒性和自适应性的遗传算法 ,大大提高了算法效率 ,实验表明该方法的有效性

Fuzzy Entropy Thresholding Method Based On Genetic Algorithm

To threshold image is of important significance for image analysis and recognition. The robust and adaptive is key to image segmentation,The maximal fuzzy entropy to image thresholding is proposed. The method has good robust and adaptive, it can give the best result for different image. In the best threshold searching, Genetic Algorithm is introduced, it is a robust and adaptive stochastic searching method, it can shorten the computational time, the results show that it is right.