A fast multi-scale edge detection algorithm

Discrete Wavelets on Edges

“…More elaborated approaches have been suggested to accelerate the resolution, such as wavelet-based ones. Recent works still use the idea of convolution by a family of Gaussians (Sumengen & Manjunath (2005), Zhang et al (2010)) and nonlinear diffusion filters (Tremblais & Augereau (2004)). Other works are wavelet-based, as can be seen in (Belkasim et al, 2007), (Shih & Tseng, 2005), (Han & Shi, 2007), Brannock & Weeks (2006) and Heric & Zazula (2007).…”

“…This method is also used to multi-scale image segmentation. Tremblais & Augereau (2004) present a new explicit scheme to the linear diffusion filtering which preserves edges. A fast filtering algorithm is then combined with a simple multiscale edge detection algorithm.…”

A multi-resolution, geometry-driven error concealment method for corrupted JPEG color images

“…The singular value ffiffiffiffiffi ffi l þ p appears to be a natural extension of the scalar gradient norm, and has been extensively used in literature, including PDE-related literature [52,53].…”

An Adaptive Technique for Accurate Feature Extraction from Regular and Irregular Image Data

“…For many years, feature extraction techniques have been developed for use on intensity images, the earliest being the simple gradient operators of Sobel and Prewitt, and extensive efforts have been made to develop multi-scale feature extraction approaches, for example [8,17]. Recently computer vision applications have increasingly begun to use range image data [11,12] instead of, or in conjunction with, intensity image data [7].…”