@inproceedings{a13dd53c6bf14d32a5e7a4a1b4d155ee,
title = "An image clutter metric based on multidirectional difference hash",
abstract = "Quantification of image clutter plays an important role in predicting target acquisition performances of a photoelectric imaging system due to the strong effect of optoelectronic image clutter. Accuracy in predicting the targeting performance of previous reported clutter metrics was relatively low because of disadvantages, such as lack of ability to accurately quantify the image with complex clutters and threshold selection problem. To address this problem, a novel multidirectionaldifference-Hash-based image clutter metric is proposed in this paper. Initially, an image similarity measure method based on multidirectional difference hash is established. Then, this method is applied to the quantification of image clutter, and an MDHash-based image clutter metric is obtained. Experimental results show that the proposed clutter metric correlates effectively with probability of detection, false alarm rate, and search time of observers.",
keywords = "Difference hash, Image clutter metric, Image similarity measure, Targeting performance",
author = "Yufei Zhao and Yong Song and Muhammad Sulaman and Xu Li and Zhengkun Guo and Xin Yang and Fengning Wang",
note = "Publisher Copyright: {\textcopyright} COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.; 2nd Target Recognition and Artificial Intelligence Summit Forum 2019 ; Conference date: 28-08-2019 Through 30-08-2019",
year = "2020",
doi = "10.1117/12.2552348",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Wang Tianran and Chai Tianyou and Fan Huitao and Yu Qifeng",
booktitle = "Second Target Recognition and Artificial Intelligence Summit Forum",
address = "United States",
}