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提出基于小波变换的多源图像数据融合和边缘检测的方法,对多源图像进行分解,将高频区域中的绝对值较大的系数作为重要小波系数;在低频区域,对逼近系数进行加权平均得到新的逼近系数,然后进行小波重构实现多源图像数据融合。应用小波变换对融合图像进行多尺度边缘检测,获取多源图像边缘,或对多源图像进行小波多尺度边缘检测,然后融合边缘。
The method of multi-source image data fusion and edge detection based on wavelet transform is proposed. The multi-source image is decomposed, and the coefficient with larger absolute value in the high-frequency region is regarded as the important wavelet coefficient. In the low-frequency region, the weighted approximation coefficients Get a new approximation coefficient, and then wavelet reconstruction to achieve multi-source image data fusion. Multi-scale edge detection is applied to the fused image by wavelet transform to obtain the edge of multi-source image, or multi-source wavelet image is detected by multi-scale edge detection, then the edge is fused.