TY - GEN
T1 - Infrared ship target image smoothing based on adaptive mean shift
AU - Liu, Zhaoying
AU - Sun, Changming
AU - Bai, Xiangzhi
AU - Zhou, Fugen
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2015/1/12
Y1 - 2015/1/12
N2 - Infrared (IR) image denoising is important for IR image analysis. In this paper, we propose a method based on adaptive range bandwidth mean shift for IR ship target image smoothing, aiming to effectively suppress noise as well as preserve important target structures. First, local image properties, including the mean value and standard deviation, are combined to build a salient region map, and a thresholding method is applied to obtain a binary mask on the target region. Then, we develop an adaptive range bandwidth mean shift method for image denoising. By associating the range bandwidth of the mean shift with local region saliency, we can adjust the bandwidth adaptively, thus to smooth the background region while preserving important target structures. Experimental results show that this method works well for IR ship target images with different backgrounds. It demonstrates superior performance for image denoising and target preserving, compared with some existing image denoising methods.
AB - Infrared (IR) image denoising is important for IR image analysis. In this paper, we propose a method based on adaptive range bandwidth mean shift for IR ship target image smoothing, aiming to effectively suppress noise as well as preserve important target structures. First, local image properties, including the mean value and standard deviation, are combined to build a salient region map, and a thresholding method is applied to obtain a binary mask on the target region. Then, we develop an adaptive range bandwidth mean shift method for image denoising. By associating the range bandwidth of the mean shift with local region saliency, we can adjust the bandwidth adaptively, thus to smooth the background region while preserving important target structures. Experimental results show that this method works well for IR ship target images with different backgrounds. It demonstrates superior performance for image denoising and target preserving, compared with some existing image denoising methods.
UR - https://www.scopus.com/pages/publications/84922551406
U2 - 10.1109/DICTA.2014.7008113
DO - 10.1109/DICTA.2014.7008113
M3 - 会议稿件
AN - SCOPUS:84922551406
T3 - 2014 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2014
BT - 2014 International Conference on Digital Image Computing
A2 - Bouzerdoum, Abdesselam
A2 - Wang, Lei
A2 - Ogunbona, Philip
A2 - Li, Wanqing
A2 - Phung, Son Lam
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th International Conference on Digital Image Computing: Techniques and Applications, DICTA 2014
Y2 - 25 November 2014 through 27 November 2014
ER -