Adaptive texture image retrieval based on spectral graph theory
Wang Cheng-ru · Computer Engineering and Applications Journal · 2011
Spectral graph theory is introduced into the field of image retrieval.The image is divided to sub-images according to gray levels,and adaptive cut algorithm is proposed to solve the difference of gray levels among images.Each cut is viewed as a sub-image,and the Normalized cut can be calculated among the sub-images via spectral graph theory and a Ncut matrix is made.The similarity is calculated between one sub-image and others and the eigenvector of the image is got using the Ncut matrix,achieving the purpose of image retrieval.