摘要
在地理图形中,线性特性目标的能量密度与背景图像的能量密度不同,根据这一特性,分析了基于能量密度对线性目标识别算法的不足,提出基于多个模板搜索目标算法,不同的模板应用不同的规则以及自适应的算法,通过仿真实验,该算法能较好地识别出地理图像的目标要素.
In geography map, there is different energy density between linear objectives and background images. The target research analyzes the algorithm of energy density finding the weakness of it and puts forward a new method, linear search algorithm based on multiple templates, which is efficiently implemented for different images and the rules are also suitable for different templates and self-adaptive algorithm. Based on the results of the experiment, the method can extract the target pixel efficiently.
出处
《南阳师范学院学报》
CAS
2014年第9期29-31,共3页
Journal of Nanyang Normal University
关键词
能量密度
线性特性
模板匹配
the density of energy
linear feature
template matching
