Title :
A comparison of image fusion methods on visible, thermal and multi-focus images for surveillance applications
Author :
Aslantas, V. ; Bendes, E. ; Toprak, A.N. ; Kurban, R.
Author_Institution :
Comput. Eng. Dept., Erciyes Univ., Kayseri, Turkey
Abstract :
Because of rapid development in sensor technology in recent years, machine perception for security purposes can be improved by using different sensor types. Fusing of images from different sensors is the key point of this development. In this paper, seven well-known image fusion methods are compared visually and quantitatively on three surveillance applications including enhanced night vision, concealed weapon detection and extending depth of the field of an optical camera.
Keywords :
image fusion; image sensors; infrared imaging; night vision; surveillance; concealed weapon detection; enhanced night vision; image fusion methods; machine perception; multifocus images; optical camera; security purposes; sensor technology; surveillance applications; thermal images; visible images; Image fusion; concealed weapon detection; enhanced night vision; extended depth of field; multi resolution methods;
Conference_Titel :
Imaging for Crime Detection and Prevention 2011 (ICDP 2011), 4th International Conference on
Conference_Location :
London
Electronic_ISBN :
978-1-84919-565-2
DOI :
10.1049/ic.2011.0129
