Edge detection by scale multiplication in wavelet domain
Pattern Recognition Letters
Construction of wavelets for width-invariant characterization of curves
Pattern Recognition Letters
A novel approach for edge detection based on the theory of universal gravity
Pattern Recognition
An edge detection approach based on directional wavelet transform
Computers & Mathematics with Applications
A shearlet approach to edge analysis and detection
IEEE Transactions on Image Processing
A wavelet-based multiresolution edge detection and tracking
Image and Vision Computing
Digital Image Processing in Remote Sensing
SIBGRAPI-TUTORIALS '09 Proceedings of the 2009 Tutorials of the XXII Brazilian Symposium on Computer Graphics and Image Processing
Boolean derivatives with application to edge detection for imaging systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A level set method based on the Bayesian risk for medical image segmentation
Pattern Recognition
An efficient ant-based edge detector
Transactions on computational collective intelligence I
System for screening objectionable images
Computer Communications
| Hi-index | 0.01 |
In this correspondence, the problem of directional and multiscale edge detection is considered. Orthogonal and linear-phase M-band wavelet transform is used to decompose the image into M×M channels. These channels are then combined such that each combination, which we refer to as decomposition filter, results in zero-crossings at the locations of edges corresponding to different directions and resolutions, and inherently performs regularization against noise. By applying a zero-crossing detector on the outputs of the decomposition filters, edge maps of desired resolution and direction are obtained. In addition, with the application of the Teager's energy operator at the analysis stage, it is possible to obtain a reduction in unwanted zero-crossings. Final edge maps of images are obtained through simple combinations of directional edge maps