基于KSW熵和遗传算法进行图像分割，效果很不错哦。谢谢,KSW entropy-based and genetic algorithms image segmentation, the effect is pretty good, oh

量子遗传算法最大熵法图像多阈值分割程序下载。阈值的个数直接指定即可。-image segmentation based on quantum-inspired genetic algorithm

神经网络算法在图像阈值分割中的实现，包括遗传神经网络训练示例，神经网络分割示例，传统BP训练遗传BP训练等-Neural network algorithm for image thresholding in implementation, including genetic neural network training example, neural network segmentation example, the traditional genetic BP BP training tr

基于最大类间方法阈值与遗传算法的道路分割-Maximum class method based on the road between the threshold segmentation and genetic algorithm

最大类间方差法是由日本学者大津(Nobuyuki Otsu)于1979年提出的,是一种自适应的阈值确定的方法,又叫大津法,简称OTSU。它是按图像的灰度特性,将图像分成背景和目标2部分。背景和目标之间的类间方差越大,说明构成图像的2部分的差别越大,当部分目标错分为背景或部分背景错分为目标都会导致2部分差别变小。(The largest between-class variance method was proposed by the Japanese scholar Nobuyuki Otsu