A new feature detection method based on gray gradient sequence

Author

Liu, Yan

Author_Institution

Grad. Univ. of Chinese Acad. of Sci., Beijing, China

Volume

2

fYear

2011

fDate

15-17 Oct. 2011

Firstpage

838

Lastpage

841

Abstract

Based on the discreteness of existing form and the continuity of energy distribution of digital image, this paper presents a new local feature detection method. The proposed method realizes the local feature detection of optical image, radar image and infrared image based on gray gradient sequence and 1-D Hilbert-huang transform method. Experimental results show that this method can describe and detect common local feature of single-sensor images and multi-sensor images efficiently for image registration application.

Keywords

Hilbert transforms; feature extraction; gradient methods; image fusion; image registration; 1D Hilbert-huang transform method; digital image; energy distribution continuity; gray gradient sequence; image registration; infrared image; local feature detection method; multisensor image; optical image; radar image; single-sensor image; Correlation; Digital images; Feature extraction; Optical imaging; Reflection; Wavelet transforms; Feature Detection; Gray Gradient Sequence; Hilbert-huang Transform; Image Registration;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing (CISP), 2011 4th International Congress on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-9304-3

Type

conf

DOI

10.1109/CISP.2011.6100272

Filename

6100272