此程序通过遗传算法(ga )实现灰度图像的分割,遗传算法的计算过程首先是将实际的优化问题编码成符合串,-This procedure through the genetic algorithm (ga) realize grayscale image segmentation, genetic algorithm calculation process is to first of all, the actual coding optimization problem into line wit

基于遗传神经网络的图像分割[神经网络实用教程中的实例]-Based on Genetic Neural Network for Image Segmentation [neural network tutorial and practical examples]

该源码是神经网络中常用的遗传算法的代码。遗传算法是最优化常用的解法之一。-The source code is generated gabor operator of the source image characteristics, such as image segmentation can be used.

最佳直方图熵法与改进GA相结合的图像分割方法-The best method of image segmentation histogram entropy method with a combination of improved GA