Results 21 to 30 of about 24,532,372 (367)
UNSUPERVISED CONVOLUTIONAL NEURAL NETWORKS FOR MOTION ESTIMATION [PDF]
, 2016 We gratefully acknowledge the support of NVIDIA Corporation with the donation of the Tesla K40 GPU used for this research.We gratefully acknowledge the support of NVIDIA Corporation with the donation of the Tesla K40 GPU used for this research.We ...
AHMADI, A +2 more
core +2 more sources
Bone Age Assessment Based on Rank-Monotonicity Enhanced Ranking CNN
IEEE Access, 2019 Skeletal bone age assessment based on hand x-ray is widely used in many fields. There is an urgent need for automated method to alleviate manual labor and address the problem of intra- and inter-observer variability.
Bo Liu +4 more
doaj +1 more source
Multifocal image processing [PDF]
, 2014 In this paper, we present a processing method for digital images from an optical microscope. High-pass type filters are generally used for image focusing. They enhance the high spatial frequencies. These filters are not appropriate if the lack of
Druckmüllerová, H., Martišek, D.
core +1 more source
A DEFINITION OF VISUAL INTERPRETATION CRITERIAS TO MAPPING LAND-USE AND LAND-COVER IN THE BRAZILIAN BIOMES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 The present work aims to establish of Visual Interpretation Criterias of the land-use and land-cover (LULC) classes of the Brazilian biomes. The process relies on the efforts of experts from each biome, Ph.D.
E. B. Silva +6 more
doaj +1 more source
Sparse Modeling for Image and Vision Processing [PDF]
, 2014 In recent years, a large amount of multi-disciplinary research has been conducted on sparse models and their applications. In statistics and machine learning, the sparsity principle is used to perform model selection---that is, automatically selecting a ...
Ecole Normale Supérieure +9 more
core +5 more sources
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing [PDF]
IEEE Signal Processing Magazine, 2019 Deep neural networks provide unprecedented performance gains in many real-world problems in signal and image processing. Despite these gains, the future development and practical deployment of deep networks are hindered by their black-box nature, i.e., a
V. Monga, Yuelong Li, Yonina C. Eldar
semanticscholar +1 more source
Improved rate-adaptive codes for distributed video coding [PDF]
, 2011 The research work is partially funded by the STEPS Malta.This scholarship is partly financed by the European Union - European Social Fund (ESF 1.25).Distributed Video Coding (DVC) is a coding paradigm which shifts the major computational intensive tasks ...
Debono, Carl James +3 more
core +1 more source
MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation
NeuroImage, 2019 MRtrix3 is an open-source, cross-platform software package for medical image processing, analysis and visualization, with a particular emphasis on the investigation of the brain using diffusion MRI.
J. Tournier +9 more
semanticscholar +1 more source
Reconstructed Saliency for Infrared Pedestrian Images
IEEE Access, 2019 Accurately and completely detecting infrared pedestrian is a challenging problem in an intelligent transportation system due to the low SNR and the inhomogeneous luminance distribution in the infrared images, especially for the complex background ...
Lu Li +3 more
doaj +1 more source
Image segmentation based on adaptive K-means algorithm
EURASIP Journal on Image and Video Processing, 2018 Image segmentation is an important preprocessing operation in image recognition and computer vision. This paper proposes an adaptive K-means image segmentation method, which generates accurate segmentation results with simple operation and avoids the ...
Xin Zheng +4 more
doaj +1 more source