改进的图像分割方法的应用

为了实现较好的在复杂背景下跟踪目标,提出一种基于YUV灰度阈值法和基于Gauss Laplacian边缘检测法相结合的算法。该算法首先采用灰度阈值法对图像进行灰度处理,使图像只有目标颜色和背景颜色2种颜色,再用Gauss Laplacian边缘检测提取目标轮廓,根据目标形状特征去除与目标颜色相同的其他物体。实验表明与以往采用单一方法相比,该方法在复杂背景下可以很好的提取出目标,达到准确跟踪的效果。

Application of Improved Method for Image Segmentation

In order to achieve better tracking in the complex context of the target,a gray-level threshold based on the YUV and Gauss Laplacian-based edge detection algorithm combined.First of all,the algorithm using gray-scale thresholding gray-scale image processing,so that only the target image color and background color of two colors,Gauss Laplacian edge detection and then extract the target profile,with the goal of removing the same colors as the other objects.Compared with a single methods before,It can do well ...