基于四叉树结构的图像分割技术

Image segmentation based on the structure of quadtree

基于四叉树结构的图像分割方法是区域增长技术和人工智能技术的结合 ,它的分割速度比区域增长方法快得多 ,在分割结束时 ,算法同时得到图像目标大小、目标灰度、目标个数、目标边缘等结果。对多目标图像分割有更好的适应性。文章最后用激光烧孔图像、细胞图像和海上舰船图像进行了实验 。

A new method of image segmentation is developed. The method is evolved by region growing and artificial intelligence combination. The performance of the method is better than region growing, as its calculation speed is faster and program more simple, moreover it can give more information, such as size, gray level, edge and number of object. An experiment is made on laser image, cell image and warship image at last. Experimental results have shown that our method is effective to the different object images.