Title :
A new feature detection method based on gray gradient sequence
Author_Institution :
Grad. Univ. of Chinese Acad. of Sci., Beijing, China
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;
Conference_Titel :
Image and Signal Processing (CISP), 2011 4th International Congress on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9304-3
DOI :
10.1109/CISP.2011.6100272