DocumentCode
3564341
Title
Lifting biorthogonal wavelet design for edge detection
Author
Devendra, S. ; Prasad, P.M.K.
Author_Institution
Dept. of E.C.E, GMR Inst. of Technol., Rajam, India
fYear
2014
Firstpage
1
Lastpage
5
Abstract
Edge detection is a common approach for detection of meaningful discontinuities in gray levels. The edge detection can be done by using lifting Wavelets. Wavelets improve the quality of edge detection due to its multi-resolution technique and it is faster for real time applications.The current widely used edge detection algorithms are Sobel, Roberts, Laplacian etc. The core idea of these algorithms is that the edge points correspond to the local maximal points of original image´s gray-level gradient. However, there are failed in some cases for detecting edge detection of an image.
Keywords
edge detection; image resolution; wavelet transforms; edge detection algorithms; edge detection quality; edge points; lifting biorthogonal wavelet design; local maximal points; multiresolution technique; original image gray-level gradient; Biomedical imaging; Discrete wavelet transforms; Image edge detection; MATLAB; Edge detection; Multi resolution analysis; lifting biorthogonal wavelet;
fLanguage
English
Publisher
ieee
Conference_Titel
High Performance Computing and Applications (ICHPCA), 2014 International Conference on
Print_ISBN
978-1-4799-5957-0
Type
conf
DOI
10.1109/ICHPCA.2014.7045368
Filename
7045368
Link To Document