Results 81 to 90 of about 12,653,288 (308)
Fusion PSPnet Image Segmentation Based Method for Multi-Focus Image Fusion
IEEE Photonics Journal, 2019 To address the problem that the traditional multi-focus images fusion methods cannot fully use of spatial context information. A novel image segmentation method for multi-focus image fusion is proposed.
Jingchun Zhou +4 more
doaj +1 more source
FEBS Letters, EarlyView.How do genomes gain new functional parts? In eukaryotes, which tend to evolve under weak selection, much of the genome is junk. Palazzo and Qiu borrow the logic of Markov chains to show how non‐functional DNA becomes functional through the appearance of intermediate states, which arise due to epistasis, buffering, and biochemical messiness, allowing ...
Alexander F. Palazzo, Yi Qiu
wiley +1 more source
Image Fusion Algorithm for Impulse Noise Reduction in Digital Images [PDF]
, 2011 This paper introduces the concept of image fusion technique for impulse noise reduction in digital images. Image fusion is the process of combining two or more images into a single image while retaining the important features of each image.
hari kiran
core
, 2007 For many tasks of automated visual inspection and environmental perception, acquisition and evaluation of a single image is not sufficient. The reason is that the information of interest cannot be acquired from a single image at all or with the necessary
Heizmann, M.
core +1 more source
The Shewanella oneidensis Fic enzyme SoFic targets the switch‐I region of EF‐Tu for AMPylation
FEBS Letters, EarlyView.Fic enzymes mediate diverse post‐translational modifications across all domains of life, including AMPylation. Prokaryotic EF‐Tu can be AMPylated and deAMPylated by the conserved Fic enzyme SoFic. Structural and biochemical approaches were used to characterize the effect of AMPylation on EF‐Tu, SoFic's enzymatic activities, and the enzyme‐target ...
Svenja Runge +6 more
wiley +1 more source
Feature-Level Multi-focus Image Fusion using Neural Network and Image Enhancement [PDF]
, 2012 Image Processing applications have grown vastly in real world. Commonly due to limited depth of optical field lenses, it becomes inconceivable to obtain an image where all the objects are in focus.
Dr. G. Mamatha +2 more
core
Zero-Learning Fast Medical Image Fusion [PDF]
Clinical applications, such as image-guided surgery and noninvasive diagnosis, rely heavily on multi-modal images. Medical image fusion plays a central role by integrating information from multiple sources into a single, more understandable output.
Suesstrunk, Sabine +2 more
core +1 more source
The Generalised Image Fusion Toolkit (GIFT) [PDF]
, 2006 Image fusion provides a mechanism to combine multiple images into a single representation to aid human visual perception and image processing tasks. Such algorithms endeavour to create a fused image containing the salient information from each source ...
Mueller, Daniel +2 more
core +1 more source
Infrared and Visual Image Fusion through Fuzzy Measure and Alternating Operators
Sensors, 2015 The crucial problem of infrared and visual image fusion is how to effectively extract the image features, including the image regions and details and combine these features into the final fusion result to produce a clear fused image.
Xiangzhi Bai
doaj +1 more source
Prospecting the protein design landscape
FEBS Letters, EarlyView.This review outlines the current state of various protein design approaches. We discuss the current possibilities enabled by recently released tools, highlight future avenues to pursue in protein design, and underscore the crucial role of key databases and resources for successful protein design workflows.
Jakob R. Riccabona +4 more
wiley +1 more source