A novel method of edge detection with Gabor wavelet based on FFTW

Author

Tong Chunya ; Teng Linlin ; Zhou Jiaming ; He Kejia ; Zhong Qiubo

Author_Institution

Shool of Electron. & Inf. Eng., Ningbo Univ. of Technol., Ningbo, China

fYear

2014

fDate

8-9 May 2014

Firstpage

625

Lastpage

628

Abstract

Since remote sensing images´ features of substantial data and complex landmark, so it needs a higher requirement for edge detection operator. Using Gabor wavelet as the edge detection operator can get over the limitations of grads operator and Canny operator in edge detection. However, the method based on 2-D Gabor wavelet takes more time. In response to this lack of Gabor wavelet, this paper presents an edge detection method based on parallel processing of FFTW and Gabor wavelet and the experimental analysis shows this method can improve the processing speed of the algorithm greatly.

Keywords

Gabor filters; discrete Fourier transforms; edge detection; geophysical image processing; remote sensing; wavelet transforms; 2D Gabor wavelet; Canny operator; FFTW; complex landmark feature; discrete Fourier transformation; edge detection method; grads operator; parallel processing; remote sensing images; substantial data feature; Image edge detection; Image resolution; Wavelet transforms; FFTW; Gabor wavelet; edge detection; parallel; processing; remote sensing images;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Computer and Applications, 2014 IEEE Workshop on

Conference_Location

Ottawa, ON

Type

conf

DOI

10.1109/IWECA.2014.6845697

Filename

6845697