摘要
张量投票方法是一种鲁棒性很强的特征提取方法,而投票域的计算则是应用该方法进行图像处理的关键步骤之一。通过实验分析了该方法的投票域计算时的唯一关键参数—尺度参数对投票结果的影响,并通过实例说明在具体应用领域中可以根据图像特点简化投票域的计算。
Tensor voting is a robust method for feature extraction, while the tensor voting field computation is one of the key steps to apply this method in image processing. We present an analysis of the tensor voting field computation. First, experimental results are utilized to illustrate the unique key parameter, the scale＇s influence on the voting results ;Then, an example is given to demonstrate that the voting field computation can be simplified according to the specific computations.
出处
《电光与控制》
北大核心
2009年第9期67-69,共3页
Electronics Optics & Control
关键词
图像处理
特征提取
张量投票
投票域
尺度分析
image processing
feature extraction
tensor voting
voting field
scale analysis
