@inproceedings{c72d4bd82b3446b399b1da12091bea09,
title = "Warship detection in smoke screen interference based on region of interest for CMAC-prediction",
abstract = "Warship detection in smoke screen interference background belongs to the field of object extraction from image with low contrast and low signal/noise ratio. Aimed at the specialty of the complex background, a novel algorithm of warship detection in smoke screen interference based on region of interest for CMAC-prediction is proposed in the article. The regions-of-interest (ROI) must be predicted in target tracking of IR image for increasing capture probability. CMAC estimator can effectually resolve conflict between operational counts and predicting precision. The local fractal dimension is used to differentiate the warship from the ROI. The experimental results show that CMAC can accurately estimate the ROI and a similar performance in a low-noise environment and superiority of the fractal operators in a high noise, the algorithms are effectively for smoke screen interference and are easy to be implemented by parallel processing hardware.",
keywords = "CMAC, Region of Interest, smoke screen interference, warship",
author = "Xiaoke Yan and Caicheng Shi",
note = "Publisher Copyright: {\textcopyright} 2015 SPIE.; Applied Optics and Photonics, China: Image Processing and Analysis, AOPC 2015 ; Conference date: 05-05-2015 Through 07-05-2015",
year = "2015",
doi = "10.1117/12.2199397",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Weiping Yang and Chunhua Shen and Honghai Liu",
booktitle = "AOPC 2015",
address = "United States",
}