【摘要】 本文在分析小波变换的基础上,将小波分析应用到目标图像的融合跟踪技术上,利用小波的多尺度和多分辨特性,不仅能够获得不同分辨力下的图像序列,进行目标图像融合;还能有效地从信号中提取突变信号,对函数或信号进行多尺度的细化分析。图像边缘用小波变换进行处理和提取并对图像形心进行计算,能够得到较好的轮廓提取效果和形心定位精度,进而说明了小波变换可能成为目标跟踪中较好的数学方法。更多还原

【Abstract】 The application of Wavelet Transform to images fusion and target tracking is present in this paper. And due to the characteristic of multi-scale and multi-level, wavelet transform can decompose a signal or image into basic blocks. It can present the signal or image in multi scale and have a good definition both in space domain and in frequency domain. Using wavelet transform to image detection and shape center computing, target contour can be better extracted and the position can be located with precision. It’s shown that wavelet transform will become a potential method to target tracking technology.更多还原