摘要
提出了小波多尺度分析理论在计算机中层视觉二维图象识别中的一种应用，并给出了一个高效匹配模型。利用二维图象的小波多尺度分解来模拟２个最主要的生物视觉通路，并对不同通道分别进行匹配计算，由粗到精地实现了基于扫视和凝视的二维图象的快速识别。与传统的模板匹配法相比，该方法具有速度快、搜索范围大、精度高。
In this paper, an effective matching model for intermediate level computer vision is proposed based on wavelet multi scale analysis. Two main vision paths are simulated by wavelet multi scale decomposition of images, and scanning and fixing algorithms are designed With complete the fast recognition from coarse to fine scale. Compared with conventional methods, the model is faster, more accurate, and higher noise robust.
出处
《中国图象图形学报（A辑）》
CSCD
1998年第11期907-911,共5页
Journal of Image and Graphics
基金
国家科技部重点科技项目
