Infared and visible light sequential image feature level fusing method based on target detection

An infrared and visible light sequence image character level amalgamation method based object detecting belongs to image amalgamation technology field. It uses area growth method to divide up each frame fountain image and automatically get background area and object area according to effective detecting method and takes dual-tree complex wavelet transform method to the fountain image list. After the transform, apply different amalgamation rules for object and background area to realize the list image amalgamation with character level. After get the wavelet amalgamation coefficient of different area, use dual-tree complex wavelet inverse transform to get amalgamation list image. It uses different amalgamation rules to keep interesting goal information as more as possible. The amalgamation list image owns good inflexibility, stability of time and coherence, and high calculating efficiency for using the application with dual-tree complex wavelet transform.