During nighttime road scenes, images are often affected by contrast distortion, loss of
detailed information, and a significant amount of noise. These factors can negatively impact …

Medical image segmentation is indispensable for diagnosis and prognosis of many
diseases. To improve the segmentation performance, this study proposes a new 2D body …

Night-time vehicle detection, which forms a basic component of the intelligent transportation
system, is a topic of intense research interest with multifarious challenges. Due to the …

Because of low luminance in tunnels, target features in images are not salient, which makes
the detection of tunnel surface defects challenging. Most deep-learning-based low-light …

Medical image segmentation is a fundamental step for diagnosis and prognosis. This study
proposes a new body and edge aware network for automated 2D medical image …

In the intelligent transportation system (ITS), detecting vehicles and pedestrians in low-light
conditions is challenging due to the low contrast between objects and the background …

As the basic task of an intelligent transportation system, nighttime vehicle detection is
associated with many challenges. Existing methods usually ignore the significant challenges …

Images captured at night with low-light conditions frequently have a loss of visible details,
inadequate contrast, low brightness, and noise. Therefore, it is difficult to perceive, extract …

With the development of technology and the needs of social governance, surveillance
equipment has been widely used. It is very mature to detect the change of surveillance video …

Abstract In Intelligent Transport Systems (ITS), vision is the primary mode of perception.
However, vehicle images captured by low-cost traffic cameras under challenging weather …