一种新的双光谱汽车夜视仪系统设计方法研究

随着汽车市场的快速发展和安防意识的日益强化,人们对汽车安全保障技术的要求越来越高。使用汽车红外夜视仪,就可以大大提高视野清晰度,减少夜间交通事故的发生。红外夜视技术是借助于光电成像器件实现夜间观察的一种光电技术。红外成像传感器是靠探测目标与背景间的热辐射差异来识别目标,所以对场景的亮度变化不敏感,成像清晰程度较低,不利于人眼的观察。对于汽车安全驾驶而言,不仅是要发现,判别路面物体,而且要确定路面物体的准确位置,所以要求获得的图像具有较高的清晰度。可见光成像传感器清晰度较高,能够提供路面物体的细节信息。红外与可见光图像的融合有利于综合红外图像的指示性和可见光图像的清晰性,对汽车安全驾驶有很重要的意义。本文重点实现了一种双光谱汽车夜视仪的系统设计并描述了用于该夜视仪的一种图像融合的竞争算法。

A Novel Research of the Design of Double Spectrum Car Night Vision System

With the rapid development of the automotive market and growing sense of security, the requirement of people to automotive safety becomes higher and higher. If used auto infrared night vision system, it can improve the view definition and reduce the occurrence of traffic accidents at night. The infrared night vision technology is the kind of photoelectric technology used photoelectric imaging device implements the night observation. Infrared imaging sensor identifies the target by detecting thermal radiation of the difference between target and background, so, it is not sensitive to the brightness changes of the sense and it＆#39;s imaging resolution is low. It is not conductive to the human eye observation. For car safety driving, not only to find the road object and to determine the accurate position of this road object, so the high resolution image is needed. Optical imaging sensor resolution is higher and can provide the road object＆#39;s details. The fusion of the infrared and visible light image is conductive to the indicative of comprehensive infrared image and the clarity of the visible light image, and it is very important to the safety driving. This paper implemented the design about a kind of double spectrum car night vision system and described the novel competitive algorithm about image fusion used the system.