Results 11 to 20 of about 2,910,023 (339)
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.
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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
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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
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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
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scikit-image: image processing in Python [PDF]
PeerJ, 2014 scikit-image is an image processing library that implements algorithms and utilities for use in research, education and industry applications. It is released under the liberal "Modified BSD" open source license, provides a well-documented API in the Python programming language, and is developed by an active, international team of collaborators. In this
van der Walt, Stefan +8 more
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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
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Detection of Stomach Cancer by TV-Endoscope Colour Enhancement Image Processing [PDF]
, 2008 Using modern TV-endoscope equipment, we have experimented image processing in several ways. This time, we designed new image processing unit called “Color Subtracted Enhancement image processing unit”.
Masaki Miyamoto
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, 2007 The field of image processing addresses handling and analysis of images for many purposes using a large number of techniques and methods. The applications of image processing range from enhancement of the visibility of cer- tain organs in medical images to object recognition for handling by industrial robots and face recognition for identification at ...
van der Heijden, Ferdi, Spreeuwers, Luuk
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Multitemporal Cloud Masking in the Google Earth Engine
Remote Sensing, 2018 The exploitation of Earth observation satellite images acquired by optical instruments requires an automatic and accurate cloud detection. Multitemporal approaches to cloud detection are usually more powerful than their single scene counterparts since ...
Gonzalo Mateo-García +4 more
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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
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