Results 31 to 40 of about 29,954 (261)
Adaptive shadow detection using global texture and sampling deduction
IET Computer Vision, 2013 An adaptive shadow detection algorithm is proposed to eliminate interference on object detection from the shadow. The algorithm uses three components in YUV colour space to identify shadow pixels from the candidate foreground.
Ke Jiang +4 more
doaj +1 more source
A Coarse‐To‐Fine Approach to Detect Shadows in the Chang’E−4 VNIS Hyperspectral Images
Earth and Space Science, 2022 The low value of shadow pixels in the images sensed by the Visible and Near‐infrared Imaging Spectrometers (VNIS) aboard Chang’E−4 Yutu‐2 rover leads to an unrealistic representation of lunar surface reflectance.
Chao Wang +7 more
doaj +1 more source
DARCLOS: a cloud shadow detection algorithm for TROPOMI [PDF]
Atmospheric Measurement Techniques, 2022 Cloud shadows are observed by the TROPOMI satellite instrument as a result of its high spatial resolution compared to its predecessor instruments. These shadows contaminate TROPOMI's air quality measurements, because shadows are generally not taken into ...
V. J. H. Trees +7 more
doaj +1 more source
IEEE Access, 2023 Fatigue detection has many applications, one of them is intelligent transportation for accident prevention. It is challenging to detect driver fatigue adopting photometric stereo and 3D fatigue-related facial action unit identification.
Gulbadan Sikander +4 more
doaj +1 more source
Moving shadow detection and removal – a wavelet transform based approach
IET Computer Vision, 2014 Shadow detection and removal is an important problem in computer vision. The real challenge in moving shadow detection and removal is to classify moving shadow points which are many times misclassified as moving object points in a video sequences ...
Manish Khare +2 more
doaj +1 more source
Detect Any Shadow: Segment Anything for Video Shadow Detection
IEEE Transactions on Circuits and Systems for Video TechnologySegment anything model (SAM) has achieved great success in the field of natural image segmentation. Nevertheless, SAM tends to consider shadows as background and therefore does not perform segmentation on them. In this paper, we propose ShadowSAM, a simple yet effective framework for fine-tuning SAM to detect shadows. Besides, by combining it with long
Yonghui Wang +3 more
openaire +2 more sources
Moving Shadow Removal Algorithm Based on Codebook Model [PDF]
Jisuanji gongcheng, 2017 The moving shadow will result in deformed or missing foreground targets,which affects the tracking and analyzing of the moving target foreground.To solve this problem,this paper designs a moving shadow removal algorithm by introducing codebook model.This
ZHONG Xiaofang,ZHOU Hao,GAO Zhishan,GAO Yun
doaj +1 more source
Remote Sensing, 2022 Due to imaging and lighting directions, shadows are inevitably formed in unmanned aerial vehicle (UAV) images. This causes shadowed regions with missed and occluded information, such as color and texture details.
Xiaoxia Liu +3 more
doaj +1 more source
FEBS Letters, EarlyView.We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace +6 more
wiley +1 more source
From mice to humans—divergent strategies for intestinal homeostasis and regeneration
FEBS Letters, EarlyView.Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa +2 more
wiley +1 more source