It is difficult to carry out edge detection of dim images by general algorithms.
由于弱光照图像的成像特点，使得普通的边缘检测的算法难以奏效。
The theory is that if you were to read in dim light for a few years, the eye will tend to grow slightly larger to make the peripheral images on the retina clearer.
因此，依据这个理论，如果持续几年在昏暗的灯光下读书，那么眼球就会略微增大，为使视网膜上的成像更清晰。
In terms of the low SNR and contrast, the small and dim targets can not be easily detected in a single IR image, so utilizing a sequence of images is an effective method.
红外图像中的弱小目标因为信噪比和对比度较低，用单帧图像检测很难得到满意的效果，利用多帧图像信息进行检测是有效的手段之一。
Detection of dim small targets in infrared images was addressed.
探讨了红外图像中的弱小目标检测问题。
In this paper, a new enhancement algorithm is presented based on the characters of infrared dim-small target images.
针对红外弱小目标图像的特点，本文提出了一种新的增强算法。
In order to detect and track dim-point targets under the complex background of sky, a high speed method is put, which uses multiwindow, little yardstick, repetitious subtracting and fusing images.
针对复杂天空背景下弱点目标的检测与跟踪，提出了一种利用多窗口、小尺度、多次差影融合点目标图像的快速检测与跟踪方法。
The detection of dim small targets in the infrared images has been the subject of intense investigation for not more than two decades.
十几年来，红外低信噪比小目标检测问题一直是红外图象领域的研究热点。
Dim and small moving targets detection of IR sequence images is a key technique for the IR detection and tracking, alarming, guiding system.
红外弱小目标检测技术是红外搜索与跟踪、红外预警、红外制导等防御和武器系统中的核心技术之一。
Experiments indicate that it can preserve dim target information in small target images, and obtain good denoising effect.
实验方面，该方法能很好的保留图像中的小目标信息，且去噪效果好。
The detection of dim targets in infrared images is difficult. Because the dim targets have a small area, dim targets often submerge in complex clutter background which are difficult to detect.
由于小目标红外图像中的目标面积较小，目标常常淹没在背景中，不易检测，故红外图像中小目标的检测一直是红外制导技术中的一个瓶颈。
The technique of small dim target detection in low Signal-to-Noise and low contrast images has been the key technique of the electro-optical detecting system.
低对比度、低信噪比弱小目标探测技术是光电成像探测系统的关键技术之一。
The technique of small dim target detection in low Signal-to-Noise and low contrast images has been the key technique of the electro-optical detecting system.
低对比度、低信噪比弱小目标探测技术是光电成像探测系统的关键技术之一。
应用推荐