Comparison of Detectability Index and Contrast Detection Probability

Jenkin Robin B.

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Comparison of Detectability Index and Contrast Detection Probability

机译：可检测性指标和对比度检测概率的比较

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Autonomous vehicles rely on the detection and recognition of objects within images to successfully navigate. Design of camera systems is non-trivial and involves trading system specifications across many parameters to optimize performance, such as f-number, focal length, CFA choice, pixel, and sensor size. As such, tools are needed to evaluate and predict the performance of such cameras for object detection. Contrast Detection Probability (CDP) is a relatively new objective image quality metric proposed to rank the performance of camera systems intended for use in autonomous vehicles. Detectability index is derived from signal detection theory as applied to imaging systems and is used to estimate the ability of a system to statistically distinguish objects, most notably in the medical imaging and defense fields. A brief overview of CDP and detectability index is given after which an imaging model is developed to compare and explore the behavior of each with respect to camera parameters. Behavior is compared to matched filter detection performance. It is shown that, while CDP can yield a first order ranking of camera systems under certain constraints, it fails to track detector performance for negative contrast targets and is relatively insensitive. (C) 2019 Society for Imaging Science and Technology.

机译：自动驾驶汽车依靠图像中物体的检测和识别来成功导航。相机系统的设计并非易事，涉及跨多个参数的交易系统规格以优化性能，例如f值，焦距，CFA选择，像素和传感器尺寸。因此，需要工具来评估和预测这种相机的性能以进行物体检测。对比度检测概率（CDP）是一种相对较新的客观图像质量指标，旨在对旨在用于自动驾驶车辆的摄像头系统的性能进行排名。可检测性指标是从应用于成像系统的信号检测理论中得出的，用于估计系统在统计学上区分对象的能力，尤其是在医学成像和国防领域。简要概述了CDP和可检测性指标，然后开发了成像模型，以比较和探索每种摄像机相对于相机参数的行为。将行为与匹配的过滤器检测性能进行比较。结果表明，尽管CDP可以在一定的约束条件下对摄像机系统进行一阶排序，但它无法跟踪检测器对负对比度目标的性能，并且相对不灵敏。（C）2019影像科学与技术学会。

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《Journal of Imaging Science and Technology》 |2019年第6期|060405.1-060405.9|共9页
作者
Jenkin Robin B.;
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NVIDIA Corp Santa Clara CA 95051 USA;

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Comparison of Detectability Index and Contrast Detection Probability

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