Design of an image edge detection filter using the Sobel operator

Kanopoulos, N.; Vasanthavada, N.; Baker, Richard L.

doi:10.1109/4.996

Cited by 844 publications

(339 citation statements)

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“…This CHT-based approach employs a Sobel edge detector [25] to highlight sharp changes in intensity and a thinning algorithm [26] to repeatedly remove pixels from the edges of circular objects until they are reduced to single-pixel-wide shapes (i.e. topological skeletonisation).…”

Section: Image Analysismentioning

confidence: 99%

Synchrotron quantification of ultrasound cavitation and bubble dynamics in Al–10Cu melts

Tzanakis

Srirangam

et al. 2016

Ultrasonics Sonochemistry

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Knowledge of the kinetics of gas bubble formation and evolution under cavitation conditions in molten alloys is important for the control casting defects such as porosity and dissolved hydrogen. Using in situ synchrotron X-ray radiography, we studied the dynamic behaviour of ultrasonic cavitation gas bubbles in a molten Al-10 wt% Cu alloy. The size distribution, average radius and growth rate of cavitation gas bubbles were quantified under an acoustic intensity of 800 W/cm 2 and a maximum acoustic pressure of 4.5 MPa (45 atm).Bubbles exhibited a log-normal size distribution with an average radius of 15.3 ± 0.5 µm.Under applied sonication conditions the growth rate of bubble radius, R(t), followed a power law with a form of R(t)=αt β , and α=0.0021 & β=0.89. The observed tendencies were discussed in relation to bubble growth mechanisms of Al alloy melts.

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Section: Image Analysismentioning

confidence: 99%

Synchrotron quantification of ultrasound cavitation and bubble dynamics in Al–10Cu melts

Tzanakis

Srirangam

et al. 2016

Ultrasonics Sonochemistry

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“…There are several ways to detect the direction angle, for example, Canny [8] and Sobel [9] are two well-known methods. Take Sobel as example, this method includes a convolution step and a filtering step.…”

Section: A Td (Texutre Direction)mentioning

confidence: 99%

The Implementation of Texture-Based Video Up-Scaling on Coarse-Grained Reconfigurable Architecture

Shi

Yin

Liu

et al. 2015

IEICE Trans. Inf. & Syst.

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SUMMARYVideo Up-scaling is a hotspot in TV display area; as an important brunch of Video Up-scaling, Texture-Based Video Upscaling (TBVU) method shows great potential of hardware implementation. Coarse-grained Reconfigurable Architecture (CGRA) is a very promising processor; it is a parallel computing platform which provides high performance of hardware, high flexibility of software, and dynamical reconfiguration ability. In this paper we propose an implementation of TBVU on CGRA. We fully exploit the characters of TBVU and utilize several techniques to reduce memory I/O operation and total execution time. Experimental results show that our work can greatly reduce the I/O operation and the execution time compared with the non-optimized ones. We also compare our work with other platforms and find great advantage in execution time and resource utilization rate.

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“…The Sobel function given in equation 2.18 implements the Sobel filter, which is used to extract the edge structure information from the image [66]. The F n variable refers to the n th frame of the video.…”

Section: Characterizing the Video Contentmentioning

confidence: 99%

Computational Inference and Control of Quality in Multimedia Services

Menkovski

2015

Springer Theses

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Please check the document version of this publication:• A submitted manuscript is the version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website.• The final author version and the galley proof are versions of the publication after peer review.• The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research.• You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal.If the publication is distributed under the terms of Article 25fa of the Dutch Copyright Act, indicated by the "Taverne" license above, please follow below link for the End User Agreement:www.tue.nl/taverne Take down policyIf you believe that this document breaches copyright please contact us at:openaccess@tue.nl providing details and we will investigate your claim. Copyright c 2013 by Vlado Menkovski All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means without the prior written consent of the author. Typeset using L A T E X, printed in The NetherlandsTo my parents, Angel who dedicated his life to his sons and Snežana whose strength inspires me deeply. SummaryQuality is the degree of excellence we expect of a service or a product. It is also one of the key factors that determine its value. For multimedia services, understanding the experienced quality means understanding how the delivered fidelity, precision and reliability correspond to the users' expectations. Yet the quality of multimedia services is inextricably linked to the underlying technology. It is developments in video recording, compression and transport as well as display technologies that enables high quality multimedia services to become ubiquitous. The constant evolution of these technologies delivers a steady increase in performance, but also a growing level of complexity. As new technologies stack on top of each other the interactions between them and their components become more intricate and obscure. In this environment optimizing the delivered quality of multimedia services becomes increasingly challenging. The factors that affect the experienced quality, or Quality of Experience (QoE), tend to have complex non-linear relat...

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Design of an image edge detection filter using the Sobel operator

Cited by 844 publications

References 1 publication

Synchrotron quantification of ultrasound cavitation and bubble dynamics in Al–10Cu melts

Synchrotron quantification of ultrasound cavitation and bubble dynamics in Al–10Cu melts

The Implementation of Texture-Based Video Up-Scaling on Coarse-Grained Reconfigurable Architecture

Computational Inference and Control of Quality in Multimedia Services

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