Results 51 to 60 of about 13,371,751 (387)
Journal of digital imaging, 2022 Magnetic resonance imaging (MRI) provides excellent soft-tissue contrast for clinical diagnoses and research which underpin many recent breakthroughs in medicine and biology.
Zhaolin Chen +5 more
semanticscholar +1 more source
AERSCIEA: An Efficient and Robust Satellite Color Image Enhancement Approach
Annals of computer science and information systems, 2017 Image enhancement is an important preprocessing step in any image analysis process. It helps to catalyze the further image analysis process like Image segmentation.
Dibya Jyoti Bora
doaj +1 more source
DeepLPF: Deep Local Parametric Filters for Image Enhancement [PDF]
Computer Vision and Pattern Recognition, 2020 Digital artists often improve the aesthetic quality of digital photographs through manual retouching. Beyond global adjustments, professional image editing programs provide local adjustment tools operating on specific parts of an image.
S. Moran +4 more
semanticscholar +1 more source
Towards Automatic Image Enhancement with Genetic Programming and Machine Learning
Applied Sciences, 2022 Image Enhancement (IE) is an image processing procedure in which the image’s original information is improved, highlighting specific features to ease post-processing analyses by a human or machine.
João Correia +4 more
doaj +1 more source
Dictionary-enhanced imaging cytometry [PDF]
Scientific Reports, 2017 AbstractState-of-the-art high-throughput microscopes are now capable of recording image data at a phenomenal rate, imaging entire microscope slides in minutes. In this paper we investigate how a large image set can be used to perform automated cell classification and denoising.
Antony Orth +3 more
openaire +3 more sources
Image enhancement using fuzzy intensity measure and adaptive clipping histogram equalization [PDF]
, 2019 Image enhancement aims at processing an input image so that the visual content of the output image is more pleasing or more useful for certain applications. Although histogram equalization is widely used in image enhancement due to its simplicity and
Tany, Jin +4 more
core
Moving in the Dark: Enlightening the Spatial Population Ecology of European Cave Salamanders
Population Ecology, EarlyView.We assessed individual interactions, movement ecology and activity patterns of a subterranean population of Speleomantes strinatii, applying spatial capture–recapture modeling to a photographic dataset of 104 individuals. ABSTRACT Space use and movement are fundamental aspects of organisms' ecology, mirroring individual fitness, behavior, and life ...
Giacomo Rosa +2 more
wiley +1 more source
Infection Models for Pine Wilt Disease on the Basis of Vector Behaviors
Population Ecology, EarlyView.Infection models for pine wilt disease without vector density were built to estimate the transmission coefficient of the pathogenic nematode. The models successfully simulated the annual change in the density of infected trees for four pine stands. ABSTRACT Pine wilt disease is caused by the pinewood nematode (Bursaphelenchus xylophilus Steiner et ...
Katsumi Togashi
wiley +1 more source
Choosing the Optimal Spatial Domain Measure of Enhancement for Mammogram Images
International Journal of Biomedical Imaging, 2014 Medical imaging systems often require image enhancement, such as improving the image contrast, to provide medical professionals with the best visual image quality. This helps in anomaly detection and diagnosis.
Karen Panetta, Arash Samani, Sos Agaian
doaj +1 more source
Delaunay triangulation based image enhancement for echocardiography images [PDF]
, 2009 A novel image enhancement approach for automatic echocardiography image processing is proposed. The main steps include undecimated wavelet based speckle noise reduction, edge detection, followed by a regional enhancement process that employs Delaunay ...
Ahanathapillai, V. +2 more
core