Hypercomplex Visual Saliency Detection Algorithm Based on Log-Gabor
Lihua Tian · Jisuanji gongcheng · 2012
In order to obtain more accurate salient object from an image in the absence of priori knowledge,this paper proposes a visual saliency detection algorithm based on Log-Gabor filter and hypercomplex Fourier transform.It uses Log-Gabor filter to process input image and obtain color and texture feature,constructs a hypercomplex image using feature images,and calculates its Fourier transform phase spectral.It calculates visual saliency map by normalization.Experimental results show that the proposed method outperforms state-of-the-art methods remarkably in visual saliency and has better detection results in traffic sign detection.