Image Processing

GeoNRW

This dataset consists of orthorectified aerial photographs, LiDAR derived digital elevation models and segmentation maps with 10 classes, acquired through the open data program of the German state North Rhine-Westphalia (https://www.opengeodata.nrw.de/produkte/) and refined with OpenStreeMap. Please check the license information (http://www.govdata.de/dl-de/by-2-0).

Categories:: Image Processing
Computer Vision
Machine Learning
Geoscience and Remote Sensing

4030 Views

DIABETIC RETINOPATHY- FUNDUS IMAGE DATASET(AGAR300)

Diabetic Retinopathy is the second largest cause of blindness in diabetic patients. Early diagnosis or screening can prevent the visual loss. Nowadays , several computer aided algorithms have been developed to detect the early signs of Diabetic Retinopathy ie., Microaneurysms. The AGAR300 dataset presented here facilitate the researchers for benchmarking MA detection algorithms using digital fundus images. Currently, we have released the first set of database which consists of 28 color fundus images, shows the signs of Microaneurysm.

Categories:: Image Processing
Computer Vision
Machine Learning
Computational Intelligence
Medical Imaging

4466 Views

Multiresolution electron microscopic, thermogravimetric and NMR relaxometric measurements of the solid state RNA and it's salts

See our next journal papers*.
*Suppl. to: Proc.
XVI International Conference on Thermal Analysis and Calorimetry in Russia (RTAC-2020). July 6th , 2020, Moscow, Russia. Book of Abstracts. — Moscow. “Pero” Publisher, 2020. — 9 MB. [Electronic edition]. ISBN 978-5-00171-240-4

Categories:: Image Processing
Biomedical and Health Sciences
Sensors
Signal Processing

152 Views

Laser-assisted multi-angle DIC microscopy of red blood cells

See our next articles.

Categories:: Image Processing

151 Views

3D-FLARE DB: Two subjects

"The friction ridge pattern is a 3D structure which, in its natural state, is not deformed by contact with a surface''. Building upon this rather trivial observation, the present work constitutes a first solid step towards a paradigm shift in fingerprint recognition from its very foundations. We explore and evaluate the feasibility to move from current technology operating on 2D images of elastically deformed impressions of the ridge pattern, to a new generation of systems based on full-3D models of the natural nondeformed ridge pattern itself.

Categories:: Artificial Intelligence
Image Processing
Computer Vision
Machine Learning
Signal Processing

2226 Views

Parallax input images

This dataset is input images for image stitching. The images have various parallax level. So, we grouped the images into five groups according to parallax level.

Some images are from the existing dataset and the other images are added by us.