Title :
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
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;
Conference_Titel :
Image and Signal Processing (CISP), 2013 6th International Congress on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-2763-0
DOI :
10.1109/CISP.2013.6744025
