Objective: In order to get the video image with large visual field in range instrumentation

a system of auto-stitching multi-lens image with large visual field is established and its applied algorithms such as image matching

marking the area of lapping

seamless stitching and etc is investigated. Method: First

the theory of wavelet transformation and wavelet-packet are presented. The image-matching algorithm based on wavelet-transformation by matching wavelet parameters of image is analyzed. Then

marking the area of lapping by comparing and rotating algorithm is analyzed

marking the only lapping area by matching the sub-lapping areas after rotating. Finally

the image seamless stitching algorithm by wavelet-packet transformation is analyzed: after image wavelet-packet transformation

merging the wave-let parameters by frequency and then using the result to rebuild the image. Result: Experimental results indicate that the system gets an image with 3.3°×1.76°large visual field by stitching four image with 1.1°×0.88° visual field

the image after stitching is smooth and seamless

the speed of the system can reach 10F/S. Conclusion: It can satisfy the range instrumentation requirements of getting image with large visual field.