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Automating Snakes for Multiple Objects Detection [chapter]

Baidya Nath Saha, Nilanjan Ray, Hong Zhang
2011 Lecture Notes in Computer Science  
Here, we present a novel technique to 8 automate snake/active contour for multiple objects detection.  ...  the snakes into object and 12 non-object classes using boosting.  ...  For 27 multiple objects detection, seeds are chosen inside the objects at the initializa-28 tion step, then snakes are evolved from those seed points and finally the evolved 29 snakes are passed through  ... 
doi:10.1007/978-3-642-19318-7_4 fatcat:sndlfgw3dvhfza2sfbhgfnvzty

Merging parametric active contours within homogeneous image regions for MRI-based lung segmentation

N. Ray, S.T. Acton, T. Altes, E.E. de Lange, J.R. Brookeman
2003 IEEE Transactions on Medical Imaging  
The segmentation technique has been employed in lung 1 H MR imaging for segmenting the total lung air space.  ...  This segmentation method is the first parametric active contour model that facilitates straightforward merging of multiple contours.  ...  Chattopadhyay of the Max-Planck-Institute for the Physics of Complex Systems, Dresden, Germany, for establishing the connection with fluid flow equations.  ... 
doi:10.1109/tmi.2002.808354 pmid:12715995 fatcat:wyhcwcg4mjeazd2qyra77jietq

A Bayes decision test for detecting uncovered-background and moving pixels in image sequences

K.E. Matthews, N.M. Namazi
1998 IEEE Transactions on Image Processing  
Unlike many uncovered-background detection schemes, our scheme does not require motion estimation for the differentiation between moving pixels and uncovered-background pixels.  ...  We present a ternary hypothesis test for the detection of stationary, moving, and uncovered-background pixels between two image frames in a noisy image sequence using the Bayes decision criterion.  ...  We have shown that the use of snakes for extracting the contour of a person in an image frame allows automated calculation of the pdf , and hence automation of the ternary hypothesis test for the application  ... 
doi:10.1109/83.668028 pmid:18276287 fatcat:ffvlsrsqurhgvdoicy626kpqfe

Automated Snake Bite Prevention System

Kunal Jain, Nishant Kabra, Shriya Khatri, Surekha Dholay
should provoke an uncommon decrease in the number of snakebites and in like manner in the number of deaths.We are planning a basic, easy, convenient gadget which will automate the procedure of snake repeller  ...  Many governments basically put this issue in the difficult to handle basket.Hence we have made a gadget which will recognize snakes using cameras and spurn the distinguished snake using a snake repeller.This  ...  Anaswara S Mohan et al [4] has proposed background subtraction for object detection and segmentation for edge de-tection.  ... 
doi:10.35940/ijitee.c8354.0110321 fatcat:4mnyns3z75edheg6f6mnfdmsdi

An automated algorithm for extracting road edges from terrestrial mobile LiDAR data

Pankaj Kumar, Conor P. McElhinney, Paul Lewis, Timothy McCarthy
2013 ISPRS journal of photogrammetry and remote sensing (Print)  
The successful extraction of road edges from these multiple road section environments validates our algorithm.  ...  The algorithm is based on a novel combination of two modified versions of the parametric active contour or snake model.  ...  First, the snake curve must be initialised close to a desirable object boundary or else it won't converge to the object boundary. Second, the snake curve fails to detect concave boundaries.  ... 
doi:10.1016/j.isprsjprs.2013.08.003 fatcat:besvfz2u55eqxjhfymfbkslaii


P. Kumar, P. Lewis, C. P. McElhinney
2015 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
We developed an automated algorithm for extracting left and right edges from MLS data.  ...  LiDAR data provides a number of attributes which can be useful for extracting various road features.  ...  The hierarchical thresholding approach outputs raster surfaces with only two values, 255 for object cells and 0 for non-object cells.  ... 
doi:10.5194/isprsannals-ii-2-w2-215-2015 fatcat:dovvuwmfp5echaxuapaqvjczem

Visual Detection and Tracking of Moving Objects

Hamza Ergezer, Kemal Leblebicioglu
2007 2007 IEEE 15th Signal Processing and Communications Applications  
However, once snake tracker detects the moving object, the snake is initialized and it works directly on input image without output of moving object detection module.  ...  The increasing need for automated video analysis has generated a great deal of interest in object tracking algorithms.  ... 
doi:10.1109/siu.2007.4298624 fatcat:cea7ter3sra3fhq5cm4e3qtvfy

A Survey on Snake Species Identification using Image Processing Technique

Pranalini Joshi, Dhanesh Sarpale, Rohan Sapkal, Apeksha Rajput
2018 International Journal of Computer Applications  
Snakes play essential role in the eco-system and are not indispensable. Deforestation are disturbing the habitat of snakes.  ...  Snake bite is more common, local knowledge not may be sufficient to recognize the snake. Attempting to catch or kill the offending snake also puts one at risk , and generally is not recommended.  ...  ACKNOWLEDGMENTS Greatly acknowledge the Zeal College of Engineering & Research ,Pune for encouraging for the project on 'Snake species identification using image processing technique'.  ... 
doi:10.5120/ijca2018918144 fatcat:io7kh7j6wnbcxmuuvms6ukmbdq

Batch-Mask: Automated image segmentation for organisms with limbless or non-standard body forms

John David Curlis, Timothy Renney, Alison R Davis Rabosky, Talia Y Moore
2022 Integrative and Comparative Biology  
We also present a user guide for fine-tuning weights to a custom dataset and incorporating existing manual visual analysis tools (e.g., Mica Toolbox) into a single automated workflow for comparing color  ...  However, limbless, elongate, or spiral-shaped organisms do not conform to the standard orientation and photographic techniques required for many automated analyses.  ...  Acknowledgments The authors thank the anonymous reviewers for their valuable suggestions. We thank H. Crowell, J. Crowe-Riddell, S.R. Manikandasriram, and W. Weaver for helpful discussion.  ... 
doi:10.1093/icb/icac036 pmid:35575628 fatcat:rrdtiybounfbjkxarhhnueww7e

An automatic approach to the detection and extraction of mine features in sidescan sonar

S. Reed, Y. Petillot, J. Bell
2003 IEEE Journal of Oceanic Engineering  
Index Terms-A priori information, automated mine detection, image analysis, Markov random field (MRF) models, shadow extraction, statistical snakes.  ...  After detection, features are extracted so that the object can be classified. A novel co-operating statistical snake (CSS) model is presented which extracts the highlight and shadow of the object.  ...  Zerr at GESMA for providing many of the sidescan images for both the detection and the CSS models.  ... 
doi:10.1109/joe.2002.808199 fatcat:sto5z5ql5jebnayal7adhn4grm

Boundary detection in 3D ultrasound reconstruction using nearest neighbor map

P. C. Pedersen, V. Mitra, J. Dey, Stanislav Emelianov, William F. Walker
2006 Medical Imaging 2006: Ultrasonic Imaging and Signal Processing  
The algorithm has been found to offer high boundary detection accuracy of 96.4% for single scan plane (SSP) and 97.9 % for multiple scan plane (MSP) images.  ...  The pre-processor detects the object(s) and obtains geometrical as well as statistical information for each object, whereas the main processor uses that information to perform the final processing of the  ...  The primary goal of this automated technique is to produce interactive, automated 3D realization of objects.  ... 
doi:10.1117/12.651130 fatcat:cbxsl4ig5nbbbo4um4qhiatqc4

Controlled Line Smoothing by Snakes

Dirk Burghardt
2005 Geoinformatica  
Furthermore, automated selection of control parameters is important for fully automated solutions.  ...  Furthermore, automated selection of control parameters is important for fully automated solutions.  ...  In combination with automated displacement it would be possible to have one common solution for the generalization of line objects their selection and symbolization.  ... 
doi:10.1007/s10707-005-1283-3 fatcat:ga7m373zbrfiham7bgbeukimcm

Automated Detection and Tracking of Adult Pacific Lampreys in Underwater Video Collected at Snake and Columbia River Fishways

Cristi Negrea, Donald E. Thompson, Steven D. Juhnke, Derek S. Fryer, Frank J. Loge
2014 North American Journal of Fisheries Management  
When the system detects activity, it tracks and counts the moving object. The implementation uses an adaptive background-subtraction algorithm for detection and motion prediction for tracking.  ...  The automated system reduced the total number of video hours requiring review by an average of 87.5% for count window videos and 83.5% for videos of picketed leads and lamprey passage orifices.  ...  counts that resulted from counting the events created for detected objects.  ... 
doi:10.1080/02755947.2013.849634 fatcat:enl3zwxe6zhrfmxnpu7fj4huhi

Design and Implementation of Gradient Vector Flow Snake to Detect a Reference Object in Pelvic X-Rays for Preoperative Total Hip Arthroplasty Planning Application

W. Kristanto, P. M. A. van Ooijen, B. The, H. Duifhuis, T. R. Mengko, M. Oudkerk
2006 Journal of digital imaging  
The algorithm used for performing the automatic detection of the reference object is gradient vector flow (GVF) snake.  ...  Automation is introduced by developing an algorithm to automatically detect this reference object in the image.  ...  Noach, PhD for providing valuable comments and extensive remarks on the manuscript.  ... 
doi:10.1007/s10278-006-1047-0 pmid:17192814 pmcid:PMC3043919 fatcat:wiy33djtrncfvkrdzpzjpjspny

Snake Energy Analysis and Result Validation for a Mobile Laser Scanning Data-Based Automated Road Edge Extraction Algorithm

Pankaj Kumar, Paul Lewis, Conor P. McElhinney, Pawel Boguslawski, Tim McCarthy
2017 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
The hierarchical thresholding approach outputs raster surfaces with only two values, 255 for object cells and 0 for non-object cells.  ...  detection.  ... 
doi:10.1109/jstars.2016.2564984 fatcat:26vn543z3rd7riukfd2elqofrq
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