Aiming at the problem that the traditional image saliency target detection can c ause false detection for saliency target,in this paper we find the center of tar get by Harris corner detection and convex-hull of computer morphology theory,and bu ilt the advanced center-prior saliency detection model.Then,we get the local feature saliency image by the wavelet transform in the time domain and frequency domain on the local characteristic information representati on ability,and obtain the global features′ saliency image by spectral residual to deal with target images.Final ly,we establish an advanced center-prior saliency detection model which is based on bottom-up image sal iency target detection methods. The experimental results show that the model proposed in this paper is effective in detecting significant object,the target detecti on rate is higher,and the detection of significant target is more complete.