摘要
图像分割是自动目标识别的关键和首要步骤,其目的是将目标和背景分离,为计算机视觉的后续处理提供依据。提出了一种基于适应性阈值和遗传算法进行图像分割的方法,对图像的不同区域分别作灰度值的评价标准,把图像分割问题定义为一个多区域的独立优化问题,利用遗传算法的寻优高效性,搜索到能使分割质量达到最优的图像分割阈值。试验表明,使用该方法可使图像分割获得满意的效果。
Image segmentation is a key and initial step of automa tic target partition. Its purpose is to separate target and background,and offer basis for follow-up handle of computer vision. An image segmentation m ethod based on the adaptability threshold and genetic algorithms (GA) is present ed. It applies the segmentation quality criteria to different districts in i mage and formulates the segmentation problem as independent optimization of many districts. The GA efficiently searches the segmentation parameter space and the goal of this method is to obtain the optimal image segmentation threshold f or segmentation quality. Experiment shows that using this method it will obt ain satisfied effect for image segmentation.
出处
《长沙交通学院学报》
2003年第2期69-72,共4页
Journal of Changsha Communications University
关键词
遗传算法
图像分割
适应性阈值
分割阈值
genetic algorithms
image segmentation
adap tability threshold
segmentation threshold