摘要
随着图像技术的发展,图像处理、图像分析和图像理解技术在遥感、航空、航天、气象和公安等行业和部门得到了广泛运用。综合利用多尺度小波分解和算子的方法,对图像进行多尺度小波分解和检测边缘、特征的内外角点,快速准确地获得特征点的位置。实验结果表明,该方法能自动定位特征点,在特征定位方面有很强的实用性。
With the development of image technology,image processing,image analysis and image understanding technology are widely used in industries and departments such as remote sensing,aeronautics and astronautics,meteorology,public security and so on.In this paper,multi-scale wavelet decomposition and SUSAN operator are synthetically used in image processing,then the locations of feature points are rapidly acquired.Experiment results indicate that this approach can automatically locate the feature points,has obvious practicability in the way of feature location.
出处
《无线电工程》
2007年第8期13-15,共3页
Radio Engineering
基金
国家自然科学基金(60372059)资助项目
安徽省自然科学基金(03042206)资助项目
关键词
图像技术
小波变换
算子
特征定位
image technology
wavelet transform
SUSAN operator
feature location