Results 31 to 40 of about 205,992 (289)
Local Water-Filling Algorithm for Shadow Detection and Removal of Document Images
Shadow detection and removal is an important task for digitized document applications. It is hard for many methods to distinguish shadow from printed text due to the high darkness similarity.
Bingshu Wang, C. L. Philip Chen
doaj +1 more source
Insignificant shadow detection for video segmentation [PDF]
To prevent moving cast shadows from being misunderstood as part of moving objects in change detection based video segmentation, this paper proposes a novel approach to the cast shadow detection based on the edge and region information in multiple frames.
Dong Xu +6 more
core +2 more sources
It has been pointed out that the spurious cosmic microwave background (CMB) B -mode polarization signals caused by the absorption of the CMB monopole component due to the Galactic interstellar matter, called the CMB shadow, degrade the accuracy of ...
Tamaki Murokoshi +4 more
doaj +1 more source
Current-Mode Techniques for the Implementation of Continuous- and Discrete-Time Cellular Neural Networks [PDF]
This paper presents a unified, comprehensive approach to the design of continuous-time (CT) and discrete-time (DT) cellular neural networks (CNN) using CMOS current-mode analog techniques.
Domínguez Castro, Rafael +3 more
core +1 more source
Shadow Detection Based on Regions of Light Sources for Object Extraction in Nighttime Video
Intelligent video surveillance systems detect pre-configured surveillance events through background modeling, foreground and object extraction, object tracking, and event detection.
Gil-beom Lee +4 more
doaj +1 more source
Topology of RNA-RNA interaction structures [PDF]
The topological filtration of interacting RNA complexes is studied and the role is analyzed of certain diagrams called irreducible shadows, which form suitable building blocks for more general structures.
Andersen, Jørgen E. +3 more
core +3 more sources
Shadow removal using sparse representation over local dictionaries
The presence of shadow in an image is a major problem associated with various visual processing applications such as object recognition, traffic surveillance and segmentation.
Remya K. Sasi, V.K. Govindan
doaj +1 more source
A Computer Vision Sensor for Efficient Object Detection Under Varying Lighting Conditions
Convolutional neural networks (CNNs) have attracted much attention in recent years due to their outstanding performance in image classification. However, changes in lighting conditions can corrupt image segmentation conducted by CNN, leading to false ...
Can Cuhadar +2 more
doaj +1 more source
Object detection with shadow removal is one of the challenging issues in computer vision. Dynamic shadow resembles a moving object’s properties, so separating this shadow from the object is a challenging task. This dynamic shadow if not eliminated,
Subhaluxmi Sahoo, Pradipta Kumar Nanda
doaj +1 more source
Mask-ShadowGAN: Learning to Remove Shadows from Unpaired Data
This paper presents a new method for shadow removal using unpaired data, enabling us to avoid tedious annotations and obtain more diverse training samples. However, directly employing adversarial learning and cycle-consistency constraints is insufficient
Fu, Chi-Wing +3 more
core +1 more source

