Dual band infrared image fusion detection based on wavelet transform

Aiming at the features of mid/long-wave infrared image in complex condition, a fusion detection method based on wavelet transform is presented. Low-frequency and high-frequency information are extracted from original mid/long-wave image using wavelet transform. Then fused images are reconstructed according to different fusion rules by wavelet inverse transform. And the background image abstracted from fused image are segmented by adaptive threshold. The final target detection result is obtained. The experimental results show that the fusion detection method superior to the method used mid-wave or long -wave detecting targets alone,and this method is efficient.