DocumentCode
152696
Title
DWT subbands fusion using ant colony optimization for edge detection
Author
Muhammad, Ajmal ; Bala, Ibrahim ; Salman, M.S. ; Eleyan, A.
Author_Institution
Electr. & Electron. Eng. Dept., Mevlana (Rumi) Univ., Konya, Turkey
fYear
2014
fDate
23-25 April 2014
Firstpage
1351
Lastpage
1354
Abstract
In this paper, a new approach for image edge detection using wavelet based ant colony optimization (ACO) is proposed. The proposed approach applies discrete wavelet transform (DWT) on the image. ACO is applied to the generated four subbands (Approximation, horizontal, vertical, and diagonal) separately for edge detection. After obtaining edges from the 4 subbands, inverse DWT is applied to fuse the results into one image with same size as the original one. The proposed approach outperforms the conventional ACO approach.
Keywords
ant colony optimisation; discrete wavelet transforms; edge detection; image fusion; ACO; DWT subbands fusion; ant colony optimization; discrete wavelet transform; image edge detection; inverse DWT; Ant colony optimization; Conferences; Discrete wavelet transforms; Image edge detection; Image reconstruction; Signal processing algorithms; ant colony optimization; discrete wavelet transform; edge detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communications Applications Conference (SIU), 2014 22nd
Conference_Location
Trabzon
Type
conf
DOI
10.1109/SIU.2014.6830488
Filename
6830488
Link To Document