In this paper, we present an edge detection method based on wavelet transform and Hessian matrix of image at each pixel. Many methods which based on wavelet transform, use wavelet transform to approximate the gradient of image and detect edges by searching the modulus maximum of gradient vectors. In our scheme, we use wavelet transform to approximate Hessian matrix of image at each pixel, too. ...

This paper surveys the largest eigenvalue distributions appearing in random matrix theory and their application to multivariate statistical analysis.

We define a new Cheeger-like constant for graphs and we use it proving inequalities that bound the largest eigenvalue of normalized Laplace operator.