基于改进分水岭算法的车辆监控视频图像分割

his article proposes an improved Watershed Algorithm based on morphological, using Morphological Open and Close Reconstruction to reduce the noise of image. Besides, with the Weber perception principle, it devised the morphological gradient image in the form of gray scale non-linear and marked the gradient image with Watershed Algorithm. So it solved the over-segmentation problem of traditional Watershed Algorithm and the suppression problem of noise and fine-grained before watershed mark. By the above method, the target image can be extracted from Vehicle surveillance video, which simplifies the steps of traditional image segmentation, and improve the accuracy of image segmentation.