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Stochastic Distance Transform [article]

Johan Öfverstedt, Joakim Lindblad, Nataša Sladoje
2018 arXiv   pre-print
We, thus, define a stochastic distance transform (SDT), which has an adjustable robustness to noise.  ...  of template matching and watershed segmentation of partially overlapping objects, which are examples of typical applications where DTs are utilized.  ...  Acknowledgements This work is supported by VINNOVA, MedTech4Health grants 2016-02329 and 2017-02447 and the Ministry of Education, Science, and Techn. Development of the Republic of Serbia (proj.  ... 
arXiv:1810.08097v1 fatcat:b5osu552yjeklo7r5jdlci2vnm

A Multi-Objective Chance-Constrained Programming Approach for Uncertainty-Based Optimal Nutrients Load Reduction at the Watershed Scale

Xujun Liu, Mengjiao Zhang, Han Su, Feifei Dong, Yao Ji, Yong Liu
2017 Water  
Evaluation of robustness of the optimal scheme indicated that the Pareto solution obtained from the model provided the ideal option, since the solutions were always on the Pareto frontier under various  ...  A multi-objective chance-constrained programming integrated with Genetic Algorithm and robustness evaluation methods was proposed to weigh the conflict between system investment against risk for watershed  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/w9050322 fatcat:zqjvm6fsmbaq5kppimiqo5qitu

Improved Accuracy and Robustness of a Corneal Endothelial Cell Segmentation Method Based on Merging Superpixels [chapter]

Juan P. Vigueras-Guillén, Angela Engel, Hans G. Lemij, Jeroen van Rooij, Koenraad A. Vermeer, Lucas J. van Vliet
2018 Lecture Notes in Computer Science  
Furthermore, our method can provide accurate results despite the degree of the initial oversegmentation, resulting into a precision and recall of 0.91 for the optimal oversegmentation.  ...  Specular microscopy is the current standard technique to image the endothelium, but its low SNR make the segmentation a complicated task.  ...  Nonetheless, this evaluation suggests that the best setup is using oversg. 1 with N = 3, as it is more robust.  ... 
doi:10.1007/978-3-319-93000-8_72 fatcat:ydf45tglpfcktk6coe6clf6j5a

Comment on "Dynamically dimensioned search algorithm for computationally efficient watershed model calibration" by Bryan A. Tolson and Christine A. Shoemaker

Ali Behrangi, Behnaz Khakbaz, Jasper A. Vrugt, Qingyun Duan, Soroosh Sorooshian
2008 Water Resources Research  
The third author is supported by a J. Robert Oppenheimer Fellowship from the LANL Postdoctoral Program. The work of the fourth author was performed under the auspices of the U.S.  ...  We gratefully acknowledge the help of Kuo-lin Hsu and the comments of the editor, Tom Torgersen; associate editor, Alberto Montanari; and two anonymous reviewers that have improved our manuscript.  ...  The DDS method is a simple stochastic neighborhood search algorithm that has been developed with the purpose of finding preferred parameter combinations fast within the user specified maximum number of  ... 
doi:10.1029/2007wr006429 fatcat:thxyw3icoveh5iqw5mz5phya5e

Hydrological Modeling Of Watersheds Using The Only Corresponding Competitor Method: The Case Of M'Zab Basin, South East Algeria

Oulad Naoui Noureddine, Cherif ELAmine, Djehiche Abdelkader
2017 Zenodo  
In this study, a new stochastic method called The Only Corresponding Competitor method (OCC) was used for the hydrological modeling of M'ZAB Watershed (South East of Algeria) to adapt a few empirical models  ...  There are several models to study rainfall-runoff relationship in watersheds. However, the majority of these models are not applicable in all basins of the world.  ...  This method is evaluated in the estimation of the flow rates of a watershed for meteorological data in fixed duration.  ... 
doi:10.5281/zenodo.1133044 fatcat:4yje4xnczjd6xdf7gjxpdwluvm

Liver segmentation in MRI: A fully automatic method based on stochastic partitions

F. López-Mir, V. Naranjo, J. Angulo, M. Alcañiz, L. Luna
2014 Computer Methods and Programs in Biomedicine  
The obtained results (a Jaccard coefficient of .91 ± .02) in comparison to other methods demonstrate that the new variant of stochastic watershed is a robust tool for automatic segmentation of the liver  ...  To improve accuracy of selected contours, the gradient of the original image is successfully enhanced by applying a new variant of stochastic watershed.  ...  Acknowledgments This work has been supported by the MITYC under the project NaRALap  ... 
doi:10.1016/j.cmpb.2013.12.022 pmid:24529637 fatcat:i6ouzy232fgmxdfbndjdfcwo3m

Stochastic Watershed Water Quality Simulation for TMDL Development - A Case Study in the Newport Bay Watershed1

Yi Zheng, Arturo A. Keller
2008 Journal of the American Water Resources Association  
The study objectives included (1) demonstrating the value of performing stochastic simulation and uncertainty analysis for TMDL development, using MOCAU as the technique and (2) evaluating the existing  ...  The study revealed the importance and feasibility of conducting stochastic watershed water quality simulation for TMDL development.  ...  ACKNOWLEDGMENTS The authors acknowledge funding from the  ... 
doi:10.1111/j.1752-1688.2008.00232.x fatcat:zw3xl3dikzg5ln6bbzl36kjw5m

An Improved Iterative Watershed and Morphological Transformation Techniques for Segmentation of Microarray Images

A.Sri Nagesh, Dr.G.P.S. Varma, Dr A Govardhan
2010 International Journal of Computer Applications  
Based on the precision of segmentation and its intensity profile, a formal investigation of the three segmentation algorithms employed (morphological operators, watershed algorithm and iterative watershed  ...  This article proposes a methodology to investigate the accuracy of spot segmentation of a microarray image, using morphological image analysis techniques, watershed algorithm and iterative watershed algorithm  ...  The Wiener filtering is a linear estimation of the original image. The approach is based on a stochastic framework.  ... 
doi:10.5120/1002-37 fatcat:alddvyynvngahox7bybbzaf2gm

An Intelligent Framework for Recognizing Social Human-Object Interactions

Mohammed Alarfaj, Manahil Waheed, Yazeed Yasin Ghadi, Tamara al Shloul, Suliman A. Alsuhibany, Ahmad Jalal, Jeongmin Park
2022 Computers Materials & Continua  
However, it is a challenging task that highly depends on the extraction of robust and distinctive features from the targets and the use of fast and efficient classifiers.  ...  This system uses RGB (red, green, blue) images as input and segments the desired parts of the images through a segmentation technique based on the watershed algorithm.  ...  The details and results of these features are described in the following subsections. Full Body Features-ORB Oriented FAST and rotated BRIEF (ORB) [38] is a fast and robust feature detector.  ... 
doi:10.32604/cmc.2022.025671 fatcat:6htlka6kind7pluehisj7a4uei

Stochastic Distance Transform: Theory, Algorithms and Applications

Johan Öfverstedt, Joakim Lindblad, Nataša Sladoje
2020 Journal of Mathematical Imaging and Vision  
We present a stochastic distance transform (SDT) based on discrete random sets, in which a model of element-wise probability is utilized and the SDT is computed as the first moment of the distance distribution  ...  We evaluate the accuracy of the SDT and the proposed framework on images of thin line structures and disks corrupted by salt and pepper noise and observe excellent performance.  ...  We also insert the SDT into an image segmentation framework based on watersheds and evaluate the robustness of segmentation of partially overlapping objects in the presence of border noise and discretization  ... 
doi:10.1007/s10851-020-00964-7 fatcat:edyh6xpclfdzjggelfky63773i

Improvement of vessel segmentation by elastically compensated patient motion in digital subtraction angiography images [chapter]

Thorsten M. Buzug, Cristian Lorenz, Jürgen Weese
1997 Lecture Notes in Computer Science  
Mohr 231 Distortions of Stereoscopic Visual Space and Quadratic Cremona Transformations G. Baratoff 239 Self-Evaluation for Active Vision by the Geometric Information Criterion K.  ...  Leonardis 305 Robust Location Based Partial Correlation Z.-D. Lan, R. Mohr 313 X Optimization of Stereo Disparity Estimation Using the Instantaneous Frequency M. Hansen, K. Daniilidis, G.  ... 
doi:10.1007/3-540-63460-6_106 fatcat:slrzatrulfcb3b4wmyv3zhlshu

Fully automatic evaluation of the corneal endothelium from in vivo confocal microscopy

Bettina Selig, Koenraad A Vermeer, Bernd Rieger, Toine Hillenaar, Cris L Luengo Hendriks
2015 BMC Medical Imaging  
In the second approach, based on the stochastic watershed, cells are automatically segmented and the result is used to estimate cell density, polymegathism (cell size variability) and pleomorphism (cell  ...  Methods: In the first approach, endothelial cell density is estimated with the help of spatial frequency analysis. We evaluate published methods, and propose a new, parameter-free method.  ...  Computing the stochastic watershed To compute the stochastic watershed, we apply m = 100 [24] repetitions of the seeded watershed with randomly placed seeds.  ... 
doi:10.1186/s12880-015-0054-3 pmid:25928199 pmcid:PMC4451752 fatcat:zq5gj5v7iba2zawoczmcj7ddou

MULTIVARIATE MATHEMATICAL MORPHOLOGY FOR DCE-MRI IMAGE ANALYSIS IN ANGIOGENESIS STUDIES

Guillaume Noyel, Jesus Angulo, Dominique Jeulin, Daniel Balvay, Charles-André Cuenod
2014 Image Analysis and Stereology  
Then a spatio-temporal approach based on stochastic watershed is used to segment tumours. The results obtained are in accordance with the diagnosis of the medical doctors.  ...  The two main key-points introduced in this paper are noise reduction preserving contours and spatio temporal segmentation by stochastic watershed.  ...  In the third part the classification step is explained and in the fourth part the segmentation by standard and stochastic watershed of DCE-MRI series is presented.  ... 
doi:10.5566/ias.1109 fatcat:gwxbi3x2ffaydnpcwpsbkkqwo4

Evaluating the role of watershed properties in long-term water balance through a Budyko equation based on two-stage partitioning of precipitation

Yin Tang, Dingbao Wang
2017 Water Resources Research  
ratio of initial wetting to total wetting) and c (the ratio of total wetting to its potential) for fast runoff.  ...  Wang (2017) , Evaluating the role of watershed properties in long-term water balance through a Budyko equation based on two-stage partitioning of precipitation, Water Resour. Res., 53, 4142-4157,  ...  over an earlier version of the manuscript.  ... 
doi:10.1002/2016wr019920 fatcat:3edydkwy7nhbrfulp3ezwzxadi

High Temporal Resolution Rainfall Runoff Modelling Using Long-Short-Term-Memory (LSTM) Networks [article]

Wei Li Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX)
2020 arXiv   pre-print
When compared to GSSHA, the data-driven model was more efficient and robust in terms of prediction and calibration.  ...  The model was tested for a watershed in Houston, TX, known for severe flood events.  ...  characteristics of the modeled watershed, and iv) to propose a fast methodology to reduce the dimension of input data to the model through an efficient feature selection approach. 15-minute precipitation  ... 
arXiv:2002.02568v1 fatcat:7rk6ktqrjrdldaemse7hbv6c7e
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