Image Retrieval Based on Multi-scale Euler Vector
Zhou Li-hua · Infrared Technology · 2006
A novel image retrieval based on Multi-scale Euler Vector is proposed by analyzing the existing retrieval methods on image edge.Firstly,the grey scale image is transformed by wavelet modulus maximum to get multi-scale edge images.Then the Euler number of each edge images is computed to extract the features of image.Consequently,each image is characterized by a multi-scale Euler vector in feature space.The co-relation between the features is taken into account,the co-relation matrix is constructed.Similarity is given by Mahalanobis Distance between two images’ feature vectors.Multi-scale Euler Vector not only can capture the shape and spatial information of image but also can be invariant with respect to translation,scale and rotation of objects.At the same time,it can describe the topologic structure of image.The results from two image databases show that the retrieval performance is better and robust.