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首页> 外文会议>Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XVII >Effect of Image Enhancement on the Search and Detection Task in the Urban Terrain
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Effect of Image Enhancement on the Search and Detection Task in the Urban Terrain

机译：图像增强对城市地形搜索与检测任务的影响

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This research investigated the effects of using medical imaging enhancement techniques to increase the detectability of targets in the urban terrain. Targets in the urban environment present human observers different challenges than targets located in the traditional, open field, search environment. In the traditional environment, targets typically were military vehicles in a natural background. In the urban environment, targets were humans against a man-made background. The U. S. Army Night Vision and Electronic Sensors Directorate (NVESD) and the U. S. Army Research Laboratory (ARL) explored three image processing techniques: contrast enhancement, edge enhancement, and a multiscale edge domain process referred to as "mountain-view". For the mountain-view presentation, high-contrast edges were enhanced. Human perception experiments were conducted with non-enhanced real imagery collected from an Urban Operations training center. These human perception experiments establish a baseline response. Processing the imagery using the previously mentioned techniques then allowed human perception experiments to be conducted. The performance parameters used for comparison were probability of detection, and time required to detect a target. This research provided a methodology of evaluating and quantifying human performance differences in target acquisition based on image processing techniques in the urban environment.
机译：这项研究调查了使用医学成像增强技术来提高城市地形中目标的可检测性的效果。城市环境中的目标给人类观察者带来的挑战与传统的开放式搜索环境中的目标所面临的挑战不同。在传统环境中，目标通常是自然背景下的军用车辆。在城市环境中，目标是人造背景下的人类。美国陆军夜视和电子传感器局（NVESD）和美国陆军研究实验室（ARL）探索了三种图像处理技术：对比度增强，边缘增强和称为“山景”的多尺度边缘域过程。对于山景演示，增强了高对比度边缘。使用从城市运营培训中心收集的未经增强的真实图像进行了人类感知实验。这些人类感知实验建立了基线响应。然后使用前面提到的技术处理图像，然后进行人类感知实验。用于比较的性能参数是检测概率和检测目标所需的时间。这项研究提供了一种基于城市环境中图像处理技术的评估和量化目标捕获中人类绩效差异的方法。

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