Results 211 to 220 of about 620,381 (256)

DSMUNet: A Lightweight Model for Road Crack Segmentation. [PDF]

Sensors (Basel)
Liu Y, Du X, Zuo C.
europepmc   +1 more source

STAR Protocols question-and-answer series: Flow cytometry. [PDF]

STAR Protoc
Petravicz J.
europepmc   +1 more source

Impact of Simulated Artifacts on the Classification Performance of Apical Views in Transthoracic Echocardiography Using Convolutional Neural Networks. [PDF]

Bioengineering (Basel)
Orzeł-Łomozik GB, Łomozik Ł, Podolski M, Rożek M, Światlak K, Radwan W, Przybylska Z, Michalska P, Pruski M, Mizia-Stec K.   +9 more
europepmc   +1 more source

Elucidating a potential role of the infant gut microbiome on the bioavailability of L-tyrosine in phenylketonuria

Moghimi M, Martinelli F, Widder J, Hensen T, Hannibal L, Spiekerkoetter U, Thiele I.   +6 more
europepmc   +1 more source

Shadow Detection and Compensation for Color Aerial Images [PDF]

Geo-Spatial Information Science, 2003
A method for shadow detection and compensation for color aerial images is presented. It is considered that the intensity value of each image pixel is the product of illumination function and ground object reflection, and the shadowed regions on the image are mainly caused by the short of illumination, so the information compensation for the shadowed ...
Li Deren
exaly   +2 more sources

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Shadow Compensation in 2D Images for Face Recognition

Pattern Recognition, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sang-Il Choi, Chunghoon Kim, Chong-Ho Choi   +2 more
exaly   +4 more sources

Hyperspectral Image Shadow Compensation via Cycle-Consistent Adversarial Networks

Neurocomputing, 2021
Abstract Illumination variance and shadows are challenging problems in remote sensing and hyperspectral imaging applications. Shadow compensation can effectively enhance the accuracy of object detection and material classification. Most shadow compensation methods either require preprocessing to detect the shadow region, or extra knowledge collected ...
Jie Chen, Longbin Yan
exaly   +3 more sources

Shadow compensation for outdoor perception

2015 IEEE International Conference on Robotics and Automation (ICRA), 2015
Outdoor robotic systems rely on perception modules that must be robust to variations in environmental conditions. In particular, vision-based perception systems are affected by illumination variations caused by occlusions. We propose an approach to calculate the lighting distribution of outdoor scenes.
Rishi Ramakrishnan, Juan I. Nieto 0001, Steve Scheding   +2 more
openaire   +2 more sources