STDR: A Novel Approach for Enhancing and Edge Detection of Potential Field Data
Sign Up to like & getrecommendations! Published in 2018 at "Pure and Applied Geophysics"
DOI: 10.1007/s00024-018-2016-5
Abstract: Edge detection is one of the most important steps in the map interpretation of potential field data. In such a dataset, it is difficult to distinguish adjacent anomalous sources due to their field superposition. In… read more here.
Keywords: field; field data; potential field; edge detection ... See more keywords
Image Edge Detection Using Fractional Calculus with Feature and Contrast Enhancement
Sign Up to like & getrecommendations! Published in 2018 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-018-0751-6
Abstract: Edge detection is an important aspect of image processing to improve image edge quality. In the literature, there exist various edge detection techniques in spatial and frequency domains that use integer-order differentiation operators. In this… read more here.
Keywords: contrast enhancement; image; edge detection; edge ... See more keywords
Canny edge detection and Hough transform for high resolution video streams using Hadoop and Spark
Sign Up to like & getrecommendations! Published in 2019 at "Cluster Computing"
DOI: 10.1007/s10586-019-02929-x
Abstract: Nowadays, video cameras are increasingly used for surveillance, monitoring, and activity recording. These cameras generate high resolution image and video data at large scale. Processing such large scale video streams to extract useful information with… read more here.
Keywords: edge detection; hough transform; canny edge;
Difference expansion based reversible data embedding and edge detection
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-07767-y
Abstract: Difference Expansion (DE) based techniques are evolving in the last decade. The DE based techniques aims at reversibly embedding the data into cover content. Most of the DE based reversible embedding techniques aims to reduce/avoid… read more here.
Keywords: difference expansion; edge detection; information; based reversible ... See more keywords
A novel approach for detecting the horizon using a convolutional neural network and multi-scale edge detection
Sign Up to like & getrecommendations! Published in 2019 at "Multidimensional Systems and Signal Processing"
DOI: 10.1007/s11045-018-0602-4
Abstract: This paper proposes a novel method for horizon detection that combines a multi-scale approach and a convolutional neural network (CNN). The ability to detect the horizon is the first step toward situational awareness of autonomous… read more here.
Keywords: method; multi scale; edge detection; horizon ... See more keywords
Edge Detection in Digital Images Using Guided L0 Smoothen Filter and Fuzzy Logic
Sign Up to like & getrecommendations! Published in 2021 at "Wireless Personal Communications"
DOI: 10.1007/s11277-021-08860-y
Abstract: 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 can be improved. However, due to large colour… read more here.
Keywords: fuzzy logic; edge detection; smoothen filter; detection ... See more keywords
A novel approach of combined edge detection and segmentation for tool wear measurement in machining
Sign Up to like & getrecommendations! Published in 2021 at "Production Engineering"
DOI: 10.1007/s11740-021-01035-5
Abstract: Product quality in machined parts is governed by many factors, out of which the state of wear of the tool is one of the most critical factors. Knowing the condition of the tool wear makes… read more here.
Keywords: wear measurement; edge detection; tool; tool wear ... See more keywords
New Divergence and Entropy Measures for Intuitionistic Fuzzy Sets on Edge Detection
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Fuzzy Systems"
DOI: 10.1007/s40815-017-0348-4
Abstract: Edges of the image play an important role in the field of digital image processing and computer vision. The edges reduce the amount of data, extract useful information from the image and preserve significant structural… read more here.
Keywords: divergence entropy; detection; intuitionistic fuzzy; edge detection ... See more keywords
Automated crack segmentation via saturation channel thresholding, area classification and fusion of modified level set segmentation with Canny edge detection
Sign Up to like & getrecommendations! Published in 2020 at "Heliyon"
DOI: 10.1016/j.heliyon.2020.e05748
Abstract: Automatic detection of complex cracks on rough concrete surfaces via image processing is a challenging task. The most current effective methods involve deep learning schemes. These are usually computationally and structurally complex. Recently, relatively simplified… read more here.
Keywords: edge detection; detection; segmentation; saturation channel ... See more keywords
Multidirectional edge detection based on gradient ghost imaging
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DOI: 10.1016/j.ijleo.2019.163768
Abstract: Abstract Gradient ghost imaging (GGI) is a new imaging method that can directly obtain the edge information of an unknown object from the correlation of light intensity fluctuations. However, this technique faces the problems of… read more here.
Keywords: gradient ghost; edge detection; ghost; multidirectional edge ... See more keywords
Image edge detection based tool condition monitoring with morphological component analysis.
Sign Up to like & getrecommendations! Published in 2017 at "ISA transactions"
DOI: 10.1016/j.isatra.2017.03.024
Abstract: The measurement and monitoring of tool condition are keys to the product precision in the automated manufacturing. To meet the need, this study proposes a novel tool wear monitoring approach based on the monitored image… read more here.
Keywords: image; edge detection; tool; image edge ... See more keywords