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A variational approach to edge detection

Monika Muszkieta
2016 Inverse Problems and Imaging  
We indicate some similarities between these two approaches to edge detection and discuss their differences.  ...  In this paper, using the variational framework and elements of topological asymptotic analysis, we derive an algorithm for edge detection in a digital image in which an optimal value for the threshold  ...  In [7, 8] , Desolneux, Moisan and Morel introduced a different approach to the problem of edge detection.  ... 
doi:10.3934/ipi.2016009 fatcat:n45rxxrcyff7bdqz7ina3oa5zq

A Variational Approach to Joint Denoising, Edge Detection and Motion Estimation [chapter]

Alexandru Telea, Tobias Preusser, Christoph Garbe, Marc Droske, Martin Rumpf
2006 Lecture Notes in Computer Science  
The estimation of optical flow fields from image sequences is incorporated in a Mumford-Shah approach for image denoising and edge detection.  ...  It comes along with a natural multi-scale approximation that is closely related to the phase field approximation for edge detection by Ambrosio and Tortorelli.  ...  We present the first approach of combining motion estimation, image denoising and edge detection in the same variational framework.  ... 
doi:10.1007/11861898_53 fatcat:zmm45psbwnfmhdid7t6h3ovzqm

VEHICLE LICENSE PLATE DETECTION: A SURVEY

Tarun Kumar
2021 JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES  
This paper presents a State-of-the-Art survey of the various leading LPD techniques that exist today and an attempt has been made to summarize these techniques based on pros and cons and their limitations  ...  In general, the ANPR technique comprises of the following three stages; license plate detection (LPD); character segmentation; and character recognition.  ...  [LVI] use intensity variation to detect the license plate. To detect intensity variation, sampling of the rows at some interval is used to scan the variation in intensity.  ... 
doi:10.26782/jmcms.2021.10.00004 fatcat:5efe2yhkajdcthhzsaltbezg4y

An Optimal Edge Detection Using Gravitational Search Algorithm

Om Prakash Verma, Rishabh Sharma, Manoj Kumar, Neetu Agrawal
2013 Lecture Notes on Software Engineering  
The proposed approach is able to detect the edge pixel in an image up to a certain extent.  ...  In the proposed approach the edges are detected by the local variation in intensity values and the movement of agents is computed using gravitational search algorithm.  ...  CONCLUSION In this paper, a new GSA based image edge detection approach has been successfully developed. The proposed approach uses local variations of image intensity in-order to detect edges.  ... 
doi:10.7763/lnse.2013.v1.33 fatcat:db4jbls3k5gwvkvnm6oqjreili

Fast edge detection approach based on global optimization convex model and split Bregman algorithm

Yu Jing, Jianxin Liu, Zhaoxia Liu, Hongju Cao
2018 Diagnostyka  
This study presented a fast edge detection approach based on global optimization convex model and Split Bregman algorithm.  ...  a better performance than the edge detection methods based on the GMAC model and RSF model.  ...  DIAGNOSTYKA, Vol. 19, No. 2 (2018) Jing Y, Liu Z, Cao H.: Fast edge detection approach based on global optimization convex model and … 27 results of edge detection and had a better ability to suppress  ... 
doi:10.29354/diag/85429 fatcat:7gejaaaaezfgrcifm75tzkfxi4

Multiscale edge detection on range images via normal changes

Chwen-Jye Sze, Hong-Yuan Mark Liao, Hai-Lung Hung, Kuo-Chin Fan, Jun-Wei Hsieh
1998 IEEE transactions on circuits and systems - 2, Analog and digital signal processing  
A new edge detection technique based on detection of normal changes is proposed.  ...  However, the depth change-based approch does not have keen sensitivity in detecting roof (or crease) edges, and the curvature change-based approach suffers from a complicated and tedious principal curvature  ...  Second, the method requires that the mod-max being tracked be due to a single variation, not a combination of variations. Interference from an adjacent signal variation may alter the correct maximum.  ... 
doi:10.1109/82.718816 fatcat:t7r7r6wciva4bozzrsd76ofxnm

Chromosomal Edge Detection using Modified Bacterial Foraging Algorithm

Sivaramakrishnan Rajaraman, Arun Chokkalingam
2014 International Journal of Bio-Science and Bio-Technology  
This paper proposes a modified bacterial foraging algorithm with a probabilistic derivative approach to detect edges in chromosome images.  ...  Bacterium searches for the nutrients in the direction decided by a probabilistic derivative approach derived from ACO and the edge pixels are identified and traversed.  ...  Acknowledgements We extend our sincere thanks to Grisan et al. [16] for helping us with the standardized database of pro-metaphase chromosomes for the successful completion of the work.  ... 
doi:10.14257/ijbsbt.2014.6.1.12 fatcat:yq2mzasvzzdlfc2fk74vfdyhh4

Auxiliary pattern for cell-based OPC

Andrew B. Kahng, Chul-Hong Park, Patrick M. Martin, Robert J. Naber
2006 Photomask Technology 2006  
The first step of our hotspot detection algorithm is to build a layout graph which reflects pattern-related CD variation.  ...  Also, the model generation process that captures process variation within simulation-based approaches brings significant overheads in terms of validation, measurement and parameter calibration.  ...  In this paper, we describe a novel detection algorithm for hotspots induced by lithographic uncertainty. Our approach utilizes a layout graph which reflects pattern-related CD variation.  ... 
doi:10.1117/12.692582 fatcat:22a7kr54lngpzmv3bpyh67rswm

An Integrated Approach to Segmentation of Range Images of Industrial Parts

Arun K. Sood, Ezzet Al-Hujazi
1990 IAPR International Workshop on Machine Vision Applications  
Fold edges can also be detected by observing the surface normals variation. We have combined AR with surface normal to detect fold edges.  ...  The depth model is not useful for fold edge detection since a fold edge does not introduce large depth variation.  ... 
dblp:conf/mva/SoodA90 fatcat:66eil2vev5ghnlrtxkf2t75ohm

An edge model for the evaluation of wind power ramps characterization approaches

Arthur Bossavy, Robin Girard, George Kariniotakis
2014 Wind Energy  
As a first step, we introduce a theoretical model of a ramp inspired from edge-detection literature.  ...  Various work about ramps' periodicity or predictability has led to the development of new characterization approaches. However, a thorough analysis of these approaches has not yet been carried out.  ...  We would like to thank the anonymous referees who reviewed this paper for their comments and suggestions.  ... 
doi:10.1002/we.1753 fatcat:ps5i2l6vabepbda3dmyvix33te

A New Bayesian Edge-Linking Algorithm Using Single-Target Tracking Techniques

Ji Yoon
2016 Symmetry  
This paper proposes novel edge-linking algorithms capable of producing a set of edge segments from a binary edge map generated by a conventional edge-detection algorithm.  ...  The conversion of the problem enables us to apply sophisticated Bayesian inference to connect the edge points. We test our proposed approaches on real images that are corrupted with noise.  ...  Acknowledgments: The author is supported by a new faculty research grant from Korea University. Conflicts of Interest: The author declares no conflict of interest. Appendix A  ... 
doi:10.3390/sym8120143 fatcat:5u3p6feombb3dihnqwej6jjf5m

Curb segments detection with temporal filtering for urban driving scenarios

Florin Oniga, Sergiu Nedevschi, Marc Michael Meinecke
2008 2008 4th International Conference on Intelligent Computer Communication and Processing  
A rectangular elevation map is built from 3D dense stereo data. Edge detection is applied to the elevation map in order to highlight height variations.  ...  An improved approach for the detection of curbs (border of relevant traffic isles, sidewalks, etc) is presented, in the context of urban driving assistance systems.  ...  We used an optimal method [4] for detecting edges (Fig. 3) with the gradient in a desired interval (equivalent to a 3D variation between 5 and 35 centimeters).  ... 
doi:10.1109/iccp.2008.4648389 fatcat:prchfljwejhilhkdyxpsd3ds5q

Robust Real Time Moving People Detection in Surveillance Scenarios

Alvaro Garcia-Martin, Jose M. Martinez
2010 2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance  
The algorithm is based on people appearance and defines a person model as the union of four models of body parts. Firstly, motion segmentation is performed to detect moving pixels.  ...  In order to test and validate the algorithm, we have developed a dataset containing annotated surveillance sequences of different complexity levels focused on the pedestrians detection.  ...  Acknowledgments This work has partially supported by the Cátedra UAM-Infoglobal ("Nuevas tecnologías de vídeo aplicadas a sistemas de video-seguridad") and by the Spanish Government (TEC2007-65400 SemanticVideo  ... 
doi:10.1109/avss.2010.33 dblp:conf/avss/Garcia-MartinM10 fatcat:4ohj5pal45chvdqwph2ykdtsya

Segmentation-based Multi-scale Edge Extraction to Measure the Persistence of Features in Unorganized Point Clouds

Dena Bazazian, Josep R. Casas, Javier Ruiz-Hidalgo
2017 Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications  
We illustrate the proposed method by computing a feature weight that measures the likelihood of a point to be an edge, then detects the edge points based on that value at both global and local scales.  ...  To address these issues, we propose a segmentation-based multi-scale edge extraction technique.  ...  This also proves the need of the multi-scale approach, as edge detection with the same neighborhood size for all the segments of a point cloud (which have different actual scales) is prone to error.  ... 
doi:10.5220/0006092503170325 dblp:conf/visapp/BazazianCH17 fatcat:kgevjafkqnc57iehjivcfsq5fa

Edge and Corner Detection for Unorganized 3D Point Clouds with Application to Robotic Welding [article]

Syeda Mariam Ahmed, Yan Zhi Tan, Chee Meng Chew, Abdullah Al Mamun, Fook Seng Wong
2018 arXiv   pre-print
Our edge detection method evaluates symmetry in a local neighborhood and uses an adaptive density based threshold to differentiate 3D edge points.  ...  Finally, we also demonstrate how our edge and corner detectors can be used as a novel approach towards automatic weld seam detection for robotic welding.  ...  ACKNOWLEDGMENT The authors would like to thank the National Research Foundation, Keppel Corporation and National University of Singapore for supporting this research that is carried out in the Keppel-NUS  ... 
arXiv:1809.10468v1 fatcat:2u62lkj6enbm3mass3blcvhskq
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