Paper Info
Title
Detection of high frequency regions in multiresolution
Abstract
We propose a method for the detection of high frequency regions using multiresolution analysis and orientation tensors. A scalar field representing multiresolution edges is obtained. Local maxima of this scalar space indicate regions having coincident detail vectors in multiple scales of a wavelet decomposition. This is useful for finding edges, textures, collinear structures and salient regions for computer vision methods. The image is decomposed into several scales using the Discrete Wavelet Transform (DWT). The resulting detail spaces form vectors indicating intensity variations which are adequately combined using orientation tensors. The multivariate data of the resulting tensor field provides fair estimations of high frequency regions. Using these tensors, a positive scalar is computed for each original image pixel. Our results show that this descriptor indicates areas having relevant intensity variation in multiple scales.
Year
DOI
Venue
2009
10.1109/ICIP.2009.5414074
ICIP
Keywords
Field
DocType
orientation tensors,multiple scale,multiresolution edge,high frequency region,multiresolution analysis,positive scalar,scalar space,scalar field,intensity variation,coincident detail vector,edge detection,orientation tensor,computer vision,pixel,discrete wavelet transform,tensile stress,high frequency,tensors,multivariate data,image resolution,color
Computer vision,Pattern recognition,Tensor,Edge detection,Scalar (physics),Tensor field,Multiresolution analysis,Orientation tensor,Artificial intelligence,Discrete wavelet transform,Scalar field,Mathematics
Conference
ISSN
ISBN
Citations 
1522-4880 E-ISBN : 978-1-4244-5655-0
978-1-4244-5655-0
0
PageRank 
References 
Authors
0.34
4
6
Name
Order
Citations
PageRank
Virgínia Fernandes Mota152.17
Eder de Almeida Perez241.14
Tássio Knop de Castro371.78
Alexandre Chapiro482.50
Marcelo Bernardes Vieira55015.30
de Castro, T.K.600.34