Edge detection using guided Sobel image filtering
Edge detection plays a vital role in numerous engineering and scientific applications,
serving as a crucial technique for identifying disruptions, irregularities, boundaries, and …
serving as a crucial technique for identifying disruptions, irregularities, boundaries, and …
Two-phase flow bubble detection method applied to natural circulation system using fuzzy image processing
Natural circulation cooling systems are currently used in new nuclear reactors. Over the last
decades, research in these systems has focused in the study of flow and heat transfer …
decades, research in these systems has focused in the study of flow and heat transfer …
Melanoma skin cancer detection and classification based on supervised and unsupervised learning
Image processing is having very important role in medical domain. Melanoma skin cancer is
critical and dangerous for human beings. Early detection of Melanoma skin cancer is very …
critical and dangerous for human beings. Early detection of Melanoma skin cancer is very …
Video shot boundary detection using block based cumulative approach
Video data is becoming an indispensable part of today's Big Data due to evolution of social
web and mobile technology. Content based video analysis has become crucial for video …
web and mobile technology. Content based video analysis has become crucial for video …
Edge detection techniques using fuzzy logic
E Anas - 2016 3rd International Conference on Signal …, 2016 - ieeexplore.ieee.org
This article reviews and discusses the fuzzy system implementation as an efficient edges
detector for the image. Authors that suggested this method used different ways to feed the …
detector for the image. Authors that suggested this method used different ways to feed the …
Edge Detection in Digital Images Using Guided L0 Smoothen Filter and Fuzzy Logic
Image segmentation is an important process in computer vision. Recently fuzzy logic based
edge detection is heavily investigated as by changing the number of rules edge detection …
edge detection is heavily investigated as by changing the number of rules edge detection …
An improved BRISK‐FREAK‐based algorithm combined with LSD algorithm for complex pointer meter identification
Z Xu, X Wu, Y Liu, L Zhao, L Zhao… - IET Science …, 2024 - Wiley Online Library
To locate and read the complex pointer meter dial for the images with uneven illumination,
blurred dial, and tilted dial, this paper firstly proposes an improved BRISK‐FREAK algorithm …
blurred dial, and tilted dial, this paper firstly proposes an improved BRISK‐FREAK algorithm …
Application-specific scheduling for the organic grid
AJ Chakravarti, G Baumgartner… - Fifth IEEE/ACM …, 2004 - ieeexplore.ieee.org
We propose a biologically inspired and fully-decentralized approach to the organization of
computation that is based on the autonomous scheduling of strongly mobile agents on a …
computation that is based on the autonomous scheduling of strongly mobile agents on a …
Memory and parallelism exploration using the LULESH proxy application
I Karlin, J McGraw, E Gallardo, J Keasler… - 2012 SC Companion …, 2012 - ieeexplore.ieee.org
Current and planned computer systems present challenges for scientific programming.
Memory capacity and bandwidth are limiting performance as floating point capability …
Memory capacity and bandwidth are limiting performance as floating point capability …
Edge detection based on the Shannon Entropy by piecewise thresholding on remote sensing images
A Kiani, MR Sahebi - IET Computer Vision, 2015 - Wiley Online Library
Edge detection is one of the most important concepts used in processing of remote sensing
images. The aim of edge detection is to mark the points of an image at which the rate of …
images. The aim of edge detection is to mark the points of an image at which the rate of …