Targets detection under nature background based on feature salience

It is a difficult problem that targets are detected in nature background, especially in images corrupted by noise. In order to solve this problem, a method based on feature salience is proposed for targets automatic detection in nature background. Firstly, an adaptive wavelet thresholding method is used to denoise for noisy target images. Then minimum probability of error was been used to build to the model of feature salience. By calculating the target feature salience and confidence, this method solves the problem of target multi-features fusion. Experimental results show that it is a robust targets detection method.