Title :
A New Pre-processing Method for Infrared Images Based on Image Fusion
Author_Institution :
Electron. & Inf. Eng. Coll., Wuhan Donghu Univ., Wuhan, China
Abstract :
A new IR (infrared) image pre-processing approach based on image fusion is presented in this paper. Through analyzing the noises types of IR image, this paper produces an alpha-trimmed mean filter for suppressing mixed noises and rapid Sobel edge detector for enhancing the target´s edge. Then it uses simple weight average method to fuse the treated IR image. Simulation shows that this method is applicable for real-time IR images enhancement and beneficial to target recognition.
Keywords :
edge detection; filtering theory; image denoising; image fusion; infrared imaging; IR image; alpha-trimmed mean filter; image fusion; infrared image preprocessing approach; mixed noise suppression; rapid Sobel edge detector; real-time IR image enhancement; target recognition; weight average method; Convolution; Filtering; Image edge detection; Image fusion; Noise; Target recognition; IR Image; Sobel edge detector; alpha-trimmed mean filterr; image fusion;
Conference_Titel :
Computational Intelligence and Design (ISCID), 2013 Sixth International Symposium on
Conference_Location :
Hangzhou
DOI :
10.1109/ISCID.2013.135
