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A 3D Image Filter for Parameter-Free Segmentation of Macromolecular Structures from Electron Tomograms

Rubbiya A. Ali, Michael J. Landsberg, Emily Knauth, Garry P. Morgan, Brad J. Marsh, Ben Hankamer, Valdur Saks
2012 PLoS ONE  
The performance of the 3D BLE filter has been tested on a range of synthetic and real biological data sets and validated against current leading filters-the pseudo 3D recursive and Canny filters.  ...  The performance of the 3D BLE filter was found to be comparable to or better than that of both the 3D recursive and Canny filters while offering the significant advantage that it requires no parameter  ...  Erik Meijering (Biomedical Imaging Group Rotterdam, Erasmus MC, University Medical Center Rotterdam, The Netherlands) for providing us with the 3D Canny source code.  ... 
doi:10.1371/journal.pone.0033697 pmid:22479430 pmcid:PMC3315577 fatcat:ppeo3hmyybhqjawniocztrb6yy

Fast and Accurate 3D Edge Detection for Surface Reconstruction [chapter]

Christian Bähnisch, Peer Stelldinger, Ullrich Köthe
2009 Lecture Notes in Computer Science  
Although edge detection is a well investigated topic, 3D edge detectors mostly lack either accuracy or speed.  ...  We give theoretical bounds for the accuracy and show experimentally that our approach reaches these bounds while the often-used subpixel-accurate parabola fit leads to much higher edge displacements.  ...  The Canny edge detection algorithm has been extended to 3D in [10] by using recursive filters.  ... 
doi:10.1007/978-3-642-03798-6_12 fatcat:6hao3zcpnveple3dshf2qmefpy

A Review of Image Binarization Techniques for Ancient Degraded Documents

2015 International Journal of Science and Research (IJSR)  
Image Binarization Technique depends on the segmentation technique which is major technique for separation of pixel values such as black as foreground and white as background.  ...  Segmentation of the degraded document images can be done by using image binarization techniques in order to acquire a clear image which will be visible means which is easy to understand them.  ...  The first step includes is image enhancement using morphological closing operation and detection process is carried out by morphological dilation using edge detector.  ... 
doi:10.21275/v4i11.nov151039 fatcat:qo7e4vsq25altozvfa2ulqngya

Detection of Abnormal Features in Digital Fundus Image Using Morphological Approach for Classification of Diabetic Retinopathy
english

Aniruddha L. Pal, Dr .Srikanth Prabhu
2015 International Journal of Innovative Research in Computer and Communication Engineering  
In this paper a method using mathematical morphological operations and edge detection to detect these lesions is discussed.  ...  Microaneurysms, haemorrhages and exudates are the abnormal features commonly observed in the retinal image of a person affected by diabetic retinopathy.  ...  The edges detected by Prewitt filter after filling with closing operation contains blood vessels, exudates, microaneurysms and haemorrhages and is shown in figure 5a .  ... 
doi:10.15680/ijircce.2015.0302028 fatcat:fb3zbn5ford4bhxgds7rteyuve

Efficient dense blur map estimation for automatic 2D-to-3D conversion

L. P. J. Vosters, G. de Haan, Andrew J. Woods, Nicolas S. Holliman, Gregg E. Favalora
2012 Stereoscopic Displays and Applications XXIII  
Focus is an important depth cue for 2D-to-3D conversion of low depth-of-field images and video. However, focus can be only reliably estimated on edges.  ...  Keywords: 2D-to-3D conversion, focus/defocus, sparse-to-dense, propagation, depth map, optimization * The filter kernel is approximated by truncating the Gaussian kernel at 3 times it standard deviation  ...  Due to its recursive update strategy, which is closely related to 3D recursive search motion estimation techniques [27] , the filter aggressively fills in homogeneous and textured regions while edges  ... 
doi:10.1117/12.907840 fatcat:wi2ux3tzcra43ohjs22y5eclga

Convolutional-Recursive Deep Learning for 3D Object Classification

Richard Socher, Brody Huval, Bharath Putta Bath, Christopher D. Manning, Andrew Y. Ng
2012 Neural Information Processing Systems  
We introduce a model based on a combination of convolutional and recursive neural networks (CNN and RNN) for learning features and classifying RGB-D images.  ...  Recent advances in 3D sensing technologies make it possible to easily record color and depth images which together can improve object recognition.  ...  Acknowledgments We thank Stephen Miller and Alex Teichman for tips on 3D images, Adam Coates for chats about image pre-processing and Ilya Sutskever and Andrew Maas for comments on the paper.  ... 
dblp:conf/nips/SocherHBMN12 fatcat:52b6veja5zbfffbujjkutfuuxu

Microstructure reconstruction of fibrous C/C composites from X-ray microtomography

J. Martín-Herrero, Ch. Germain
2007 Carbon  
processing techniques, allowing the 106 separation of fibres, porosity, and matrix, and the subsequent analysis, char-107 acterization, and even visualization by means of enhanced reality techniques 108  ...  [26, 27] is a non destructive technique that produces 55 accurate images of 3D volumes by reconstruction from multiple X-ray pro-56 jections [28], allowing the direct characterization of the 3D microstructure  ...  Fig. 6 . 6 Edge detection by profiling scan lines in slices of the tomograph in Figure 1 after filtering with 3D anisotropic diffusion.  ... 
doi:10.1016/j.carbon.2007.01.021 fatcat:6hovezb6dbcmraflywcxqbwdki

Experimental performance characterization of adaptive filters

G. Appenzeller, J.L. Crowley
1996 Proceedings of 13th International Conference on Pattern Recognition  
Our method is applied to adaptive filters. By analyzing the system architecture we chose an evaluation level and derive the evaluation criteria and parameter control strategies.  ...  The results show that none of the tested techniques performs better than linear filters or the Canny edge detector.  ...  Using a recursive splitting algorithm the chains are transformed into segments. The segments are matched and the 3D scene description is calculated.  ... 
doi:10.1109/icpr.1996.546860 dblp:conf/icpr/AppenzellerC96 fatcat:4j6b25uwj5a6dgqmqcqrcrojaa

Image Abstraction by Structure Adaptive Filtering [article]

Jan Eric Kyprianidis, Jürgen Döllner
2008 Computer Graphics and Visual Computing  
To smooth low-contrast regions while preserving edges, we present a new fast separated implementation of the bilateral filter.  ...  Our approach works by filtering in direction of the gradient and then filtering the intermediate result in perpendicular direction.  ...  This work was supported by the German Research Foundation (DFG), grant DO 697/5-1.  ... 
doi:10.2312/localchapterevents/tpcg/tpcg08/051-058 dblp:conf/tpcg/KyprianidisD08 fatcat:y5a5yuacj5da3aelkgfl42lvaq

Detection and extraction of fault surfaces in 3D seismic data

Israel Cohen, Nicholas Coult, Anthony A. Vassiliou
2006 Geophysics  
We propose an efficient method for detecting and extracting fault surfaces in 3D-seismic volumes.  ...  The ultimate result obtained by the proposed procedure provides a visual and semantic representation of a set of well-defined, cleanly separated, one-pixelthick, labeled fault surfaces that is readily  ...  Coifman of Yale University for valuable discussions and helpful suggestions. We also thank associate editor Kurt J.  ... 
doi:10.1190/1.2215357 fatcat:nsl6ptzgcvfopowaxj24pjl6cq

Polylidar3D-Fast Polygon Extraction from 3D Data

Jeremy Castagno Castagno, Ella Atkins
2020 Sensors  
Flat surfaces captured by 3D point clouds are often used for localization, mapping, and modeling.  ...  We demonstrate Polylidar3D's versatility and speed with real-world datasets including aerial LiDAR point clouds for rooftop mapping, autonomous driving LiDAR point clouds for road surface detection, and  ...  Table 13 shows execution timing results of our bilateral filter for one and five iterations with results separated by a semicolon.  ... 
doi:10.3390/s20174819 pmid:32858994 pmcid:PMC7506964 fatcat:ehcehgiq3rag7ppftfwakbmj6q

Urban Site Modeling from LiDAR [chapter]

Suya You, Jinhui Hu, Ulrich Neumann, Pamela Fox
2003 Lecture Notes in Computer Science  
By adapting a set of appropriate geometric primitives and fitting strategies, the system can model a range of complex buildings with irregular shapes.  ...  This paper presents a complete modeling system that extracts complex building structures with irregular shapes and surfaces.  ...  Acknowledgment This work was supported by a Multidisciplinary University Research Initiative (MRUI) on "Next Generation 4-D Distributed Modeling and Visualization".  ... 
doi:10.1007/3-540-44842-x_59 fatcat:oinksxrqbzcyfn7rccebaqufma

Airways Segmentation using Fast Marching

César Bustacara-Medina, Leonardo Flórez-Valencia, José Hernando Hurtado
2020 Journal of WSCG  
Airway tree segmentation can be performed manually by an image analyst, but the complexity of the tree makes manual segmentation tedious and extremely time-consuming (require several hours of analysis)  ...  Direct measurements can be made from images obtained using computer tomography (CT) by applying computer-based algorithms to segment airway, however, current validation techniques cannot establish adequately  ...  The key point of the gradient magnitude is to use optimal recursive and separable filters as Deriche proposed to obtain approximate gradient or Laplacian.  ... 
doi:10.24132/csrn.2020.3001.21 fatcat:eszqlav35nhitd7fzj6y7ird2e

Object Detection In Underwater Acoustic Images Using Edge Based Segmentation Method

R. Priyadharsini, T. Sree Sharmila
2019 Procedia Computer Science  
The acoustic images are first pre-processed using Wiener and Median filters and a morphological gradient is obtained by subtracting the morphologically dilated and eroded image.  ...  The acoustic images are first pre-processed using Wiener and Median filters and a morphological gradient is obtained by subtracting the morphologically dilated and eroded image.  ...  A symmetric bank of Gabor filters are used for filtering the images and then a morphological closing operator [23] was applied on the filtered image.  ... 
doi:10.1016/j.procs.2020.01.015 fatcat:loq722zqprhavmg3gjd2wvfkzq

Design and implementation of an algorithm for automatic 3D reconstruction of building models using genetic algorithm

Mostafa Kabolizade, Hamid Ebadi, Ali Mohammadzadeh
2012 International Journal of Applied Earth Observation and Geoinformation  
The goal of this research is to extract and delineate building ground plans from LiDAR data and reconstruction of buildings in 3D space.  ...  Automatic extraction and reconstruction of objects from Light Detection and Ranging (LiDAR) data and images has been a topic of research for decades.  ...  The cost function was calculated by separation between 3D mode and LiDAR data.  ... 
doi:10.1016/j.jag.2012.05.006 fatcat:mwqitwxmlbdwfhwhsjrmjp4ipi
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