Warship detection in smoke screen interference based on region of interest for CMAC-prediction

Xiaoke Yan; Caicheng Shi

doi:10.1117/12.2199397

8 October 2015 Warship detection in smoke screen interference based on region of interest for CMAC-prediction

Xiaoke Yan, Caicheng Shi

Proceedings Volume 9675, AOPC 2015: Image Processing and Analysis; 96751G (2015) https://doi.org/10.1117/12.2199397
Event: Applied Optics and Photonics China (AOPC2015), 2015, Beijing, China

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.

Citation Download Citation

Xiaoke Yan and Caicheng Shi "Warship detection in smoke screen interference based on region of interest for CMAC-prediction", Proc. SPIE 9675, AOPC 2015: Image Processing and Analysis, 96751G (8 October 2015); https://doi.org/10.1117/12.2199397

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