利用改进的脉冲神经网络完成灰度图像的分割-The use of impulsive neural networks to improve the completion of gray-scale image segmentation

应用遗传算法对传统Otsu算法进行优化实现灰度图像的阈值分割。给出了c++的源程序。-Using genetic algorithm Otsu traditional algorithm was used to optimize the realization of gray image threshold segmentation. Given the c++ the source program.

对固定镜头下视频序列中运动人体的检测和跟踪方法进行研究，利用灰度图像差分双向投影信息检测人体目标，提出一种基于统 计运动区域几何特征固定比例的分割算法，使用最近邻匹配方法对人体进行跟踪。-Video sequences in the detection and tracking of the movement of the human body to study under the fixed lens, bi-directional projector information using