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Active Canny: Edge Detection and Recovery with Open Active Contour Models [article]

Muhammet Bastan and S. Saqib Bukhari and Thomas M. Breuel
2016 arXiv   pre-print
We introduce an edge detection and recovery framework based on open active contour models (snakelets).  ...  This is motivated by the noisy or broken edges output by standard edge detection algorithms, like Canny.  ...  The second author is currently with German Research Center for Artificial Intelligence (DFKI), and third author is with Google.  ... 
arXiv:1609.03415v1 fatcat:cybhsld42vbxrkchoksvvm67hm

Active Canny: edge detection and recovery with open active contour models

Muhammet Baştan, Syed Saqib Bukhari, Thomas Breuel
2017 IET Image Processing  
The authors introduce an edge detection and recovery framework based on open active contour models (snakelets) to mitigate the problem of noisy or broken edges produced by classical edge detection algorithms  ...  , like Canny.  ...  Conclusions We presented an edge detection and recovery framework based on open active contour models.  ... 
doi:10.1049/iet-ipr.2017.0336 fatcat:jj24gsolfvaynkw6ugd6ukm4pe

Robust pulmonary segmentation for chest radiography, combining enhancement, adaptive morphology and innovative active contours

Daniel Aparecido Vital, Barbara Teixeira Sais, Matheus Cardoso Moraes
2018 Research on Biomedical Engineering  
Robust pulmonary segmentation for chest radiography, combining enhancement, adaptive morphology and innovative active contours Res Biomed Eng. 2018; 34(3):234-245.  ...  for accuracy of detection the pulmonary region and border.  ...  and Technology of UNIFESP (LaPIS-ICT-UNIFESP).  ... 
doi:10.1590/2446-4740.180035 fatcat:b2ad66wrhze7joayindmfeir5q


2009 International Journal of Humanoid Robotics  
Experiments with real imagery collected by our active robot and from the known databases 1 demonstrate the promise of the approach.  ...  Segmenting the region containing the fixation is equivalent to finding the enclosing contour -a connected set of boundary edge fragments in the edge map of the scenearound the fixation.  ...  Acknowledgment The support of (a) NSF under a collaborative project with Yale University (NETS/NOSS), (b) the European Union's 7th Framework program on Cognitive Systems under the project POETICON, and  ... 
doi:10.1142/s0219843609001784 pmid:20686671 pmcid:PMC2913482 fatcat:npto3ivlxrezndsnocex4y547m

Detection and Classification of Bone Fractures Using GLCM Features

A.V. Manjari
2017 International Journal for Research in Applied Science and Engineering Technology  
Images of bone fractures are obtained from hospital and these images are processed in the areas noise removal, segmentation, edge detection and feature extraction.  ...  Methods such as Active contour model, Geodesic Active contour model is also analyzed in this paper.  ...  CANNY EDGE DETECTION ALGORITHM SEGMENTATION SEGMENTATION Canny operator is an optimal edge detector to which input is grayscale image and the output is image showing the tracked intensity discontinuities  ... 
doi:10.22214/ijraset.2017.9085 fatcat:hwcylm5jnzc5ng7par446ircea

Robust Edge Detection Using Mumford-Shah Model and Binary Level Set Method [chapter]

Li-Lian Wang, Yuying Shi, Xue-Cheng Tai
2012 Lecture Notes in Computer Science  
A new approximation of the Mumford-Shah model is proposed for edge detection, which could handle open-ended curves and closed curves as well.  ...  Numerical results show that the proposed model and method are very efficient and have the potential to be used for edge detections for real complicated images.  ...  The authors would like to thank the editor and the referee for their thoughtful comments. This research is supported by Singapore MOE Grant T207B2202, and Singapore NRF2007IDM-IDM002-010.  ... 
doi:10.1007/978-3-642-24785-9_25 fatcat:knvhdg66bzcwhfwda6x2zwymam

Automated Modelling of Masonry Walls: a ML and AR Approach [chapter]

Pierpaolo D'Agostino, Federico Minelli
2021 Representation Challenges. Augmented Reality and Artificial Intelligence in Cultural Heritage and Innovative Design Domain  
Edge detection and vector delineation of brick joints are followed by a phase of brick clustering for masonry classification.  ...  Python environment is chosen for the coding activity in order to provide automation to the process.  ...  The RGB source images are transformed into the HSV color representation in the Canny algorithm for the first brick edge detection.  ... 
doi:10.3280/oa-686.29 fatcat:6bw24tkye5dlxkqv7grorynaeu

Position Identification Method of Isolation Switch for Prosumer Substation Based on Intelligent Image Recognition Technology

Bozhong Wang, Bozhong Wang, Juan Wei, Peng Li, Peng Li, Mai Peng, Mai Peng, Cheng Li, Cheng Li, Lide Wang, Lide Wang, Hui Zhou (+3 others)
2022 Frontiers in Energy Research  
The marking point recognition and edge detection method based on the Canny algorithm is developed to identify the open and close position of disconnecting switch.  ...  Compared with the traditional auxiliary switch contact, the proposed method can form the "double confirmation" criterion of non-homologous position to realize the open and close position of the disconnecting  ...  The marking point recognition and edge detection method based on the Canny algorithm is developed to identify the open and close position of disconnecting switch.  ... 
doi:10.3389/fenrg.2022.930555 doaj:4591f488a47a4b7fac0e03e89cba9f28 fatcat:smp6ziattvddfhx3ytwakvp3ni

Observing Tool Bit Conditions in Turning Process through OpenCV Programming Function

Ahmad Yusairi Bani Hashim, Muhammad Amirul Amin Suaadi
2017 Manufacturing Science and Technology  
Canny algorithm and thresholding were the techniques to perform video analysis. Canny edge detector algorithm was used to change the RGB image to a grayscale-based image.  ...  The image would display only the object's edges so that the tool bit's sharp edge was visible and was analyzable for tool wear condition.  ...  Apart from detecting the edges of an image, one more important issue involving Canny edge detection is that there are always changes to analog data.  ... 
doi:10.13189/mst.2017.040202 fatcat:ynvrazwfzrgdrnwal62zpgawom

Review of Various Aspects of Radio Frequency IDentification (RFID) Technology

Hussain Saleem
2012 IOSR Journal of Computer Engineering  
This text gives the brief review of RFID Technology with discussion on frequency ranges, standards, and applications with emerging innovations.  ...  Familiarization with the benefit and the risk of RFID is important before using this technology. The shadow of this technology has made a huge impact on our daily lives.  ...  We wish to express our thanks and sincere gratitude to our Principal and Head of the Department for his guidance to complete this work successfully and enthusiastic encouragement.  ... 
doi:10.9790/0661/0810106 fatcat:mp4au6vgsfapbhctoj2nkd2xbq

Advances in automated tongue diagnosis techniques

Marzia Hoque Tania, Khin Lwin, Mohammed Alamgir Hossain
2018 Integrative Medicine Research  
This framework will be able to connect tongue diagnosis with the future point-of-care health system.  ...  various aspects of computerized tongue diagnosis, namely preprocessing, tongue detection, segmentation, feature extraction, tongue analysis, especially in traditional Chinese medicine (TCM).  ...  Acknowledgements The research work has been funded by Erasmus Mundus Partnerships Action 2 "FUSION" (Featured eUrope and South asIa mObility Network) project of Erasmus Mundus.  ... 
doi:10.1016/j.imr.2018.03.001 pmid:30949431 pmcid:PMC6428917 fatcat:6fivofags5be5hjffrua75jany

Normal cognitive and social development require posterior cerebellar activity

Aleksandra Badura, Jessica L Verpeut, Julia W Metzger, Talmo D Pereira, Thomas J Pisano, Ben Deverett, Dariya E Bakshinskaya, Samuel S-H Wang
2018 eLife  
Here we show that the normal development of motor and nonmotor capacities requires cerebellar activity.  ...  Both adult and juvenile disruption left gait metrics largely unaffected. Contributions to phenotypes increased with the amount of lobule inactivated.  ...  , Julia Epelbaum, Zhenyu Gao, and Laura Lynch for help with experiments, and Halina Goraczniak and Lynn Enquist for HSV-H129 virus.  ... 
doi:10.7554/elife.36401 pmid:30226467 pmcid:PMC6195348 fatcat:4tlv6aaahfd27phczq5cdp23yy

Shadow modelling based upon Rayleigh scattering and Mie theory

Lin Gu, Antonio Robles-Kelly
2014 Pattern Recognition Letters  
This allows for the computation of a ratio which permits casting the problem of recovering the shadowed areas in the image into a clustering setting making use of active contours.  ...  We illustrate the utility of the method for purposes of detecting shadows in real-world imagery, provide time complexity results and compare against a number of alternatives elsewhere in the literature  ...  For the recovery of shadowed regions, this ratio is used to govern the evolution of an active contour across the image.  ... 
doi:10.1016/j.patrec.2013.10.020 fatcat:bm4dvtvuq5enxenguvdrly422y

Medical Image Processing in Nuclear Medicine and Bone Arthroplasty

Joyjit Patra
2013 IOSR Journal of Computer Engineering  
with other medical activities.  ...  but for now,the best approach in the medical field is to create semiautomatic applications, in order to help the doctors with the diagnoses, with following the patients' evolution and managing them and  ...  Fig. 8 . 8 Edge detection (a) Original kidneys image, (b) edge detection with canny method and threshold 0.2667, (c) edge detection with prewitt method and threshold 0.038.  ... 
doi:10.9790/0661-13297110 fatcat:7q2f5nmszfdcbhx7sicdpzflhy

Symmetry Plane Detection in Brain Image Analysis: A Survey

Surani Jayasuriya, Alan Liew, Ngai-Fong Law
2013 Current Medical Imaging Reviews  
An image is basically analyzed from the perspective of its segmentation, edge detection, registration and morphology or motion analysis.  ...  The paper is basically an overview and discussion of the methods and techniques being proposed and developed in regard of brain image analysis.  ...  Then in order to split The method described in [5] presents the geometric active the image water shed and neural network methods are contour models for detecting the edges and segmentation used.  ... 
doi:10.2174/15734056113096660007 fatcat:5fjl653sxncpnldlit6l7qd4ia
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