A new feature extraction model based on image gradient

Author

Minghua Zhao ; Yongqin Yuan ; Bing Li ; Zhenghao Shi

Author_Institution

Sch. of Comput. Sci. & Eng., Xi´an Univ. of Technol., Xi´an, China

Volume

01

fYear

2013

fDate

16-18 Dec. 2013

Firstpage

390

Lastpage

394

Abstract

A new feature extraction model based on image gradient is proposed. Firstly, image gradient orientation is calculated. Secondly, gradient orientation difference between image pairs is computed at each pixel. Thirdly, the cosine function value of the gradient orientation difference is used as the correlation value. Experimental results show that the correlation calculation model can be used to measure similarity between images effectively. In this way, the proposed method can be used for any existing image recognition method.

Keywords

correlation methods; feature extraction; gradient methods; image recognition; correlation calculation model; correlation value; cosine function value; feature extraction model; gradient orientation difference; image gradient orientation; image pairs; image recognition method; Correlation; Discrete cosine transforms; Equations; Feature extraction; Image recognition; Lighting; Training; cosine function; feature extraction; gradient orientation; image gradient;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing (CISP), 2013 6th International Congress on

Conference_Location

Hangzhou

Print_ISBN

978-1-4799-2763-0

Type

conf

DOI

10.1109/CISP.2013.6744025

Filename

6744025