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A Fast Hierarchical Multilevel Image Segmentation Method using Unbiased Estimators [article]

Sreechakra Goparaju, Jayadev Acharya, Ajoy K. Ray, Jaideva C. Goswami
2007 arXiv   pre-print
This paper proposes a novel method for segmentation of images by hierarchical multilevel thresholding. The method is global, agglomerative in nature and disregards pixel locations.  ...  It involves the optimization of the ratio of the unbiased estimators of within class to between class variances.  ...  CONCLUSION We have proposed a novel image segmentation technique based on unbiased variance estimators. The proposed method is compared with other global histogram-based thresholding methods.  ... 
arXiv:0712.4015v1 fatcat:gynheq5vardrze3nb47zkeccre

Self-Validated Labeling of Markov Random Fields for Image Segmentation

Wei Feng, Jiaya Jia, Zhi-Qiang Liu
2010 IEEE Transactions on Pattern Analysis and Machine Intelligence  
We apply the proposed algorithms to natural image segmentation.  ...  Specifically, we use the split-and-merge strategy to decompose the complex problem to a series of tractable subproblems.  ...  We also believe that this hierarchical coarse-to-fine labeling is more useful than a single flat segmentation to reveal the structure of images [19] .  ... 
doi:10.1109/tpami.2010.24 pmid:20724763 fatcat:idje2n5przcbtftn7dyxjbinma

2020 Index IEEE Transactions on Image Processing Vol. 29

2020 IEEE Transactions on Image Processing  
., +, TIP 2020 8264-8277 Fast Depth Estimation for Light Field Cameras. Mishiba, K., TIP 2020 4232-4242 Fast Single Image Dehazing Using Saturation Based Transmission Map Estimation.  ...  Li, B., +, TIP 2020 8303-8315 Real-Time Hierarchical Supervoxel Segmentation via a Minimum Spanning Tree.  ... 
doi:10.1109/tip.2020.3046056 fatcat:24m6k2elprf2nfmucbjzhvzk3m

Multilevel Functional Principal Component Analysis for High-Dimensional Data

Vadim Zipunnikov, Brian Caffo, David M. Yousem, Christos Davatzikos, Brian S. Schwartz, Ciprian Crainiceanu
2011 Journal of Computational And Graphical Statistics  
Our methods are motivated by and applied to a study where hundreds of subjects were scanned using Magnetic Resonance Imaging (MRI) at two visits roughly five years apart.  ...  We propose fast and scalable statistical methods for the analysis of hundreds or thousands of high dimensional vectors observed at multiple visits.  ...  Our analysis is different from VBM by exploring hierarchical models of morphometric variation using a generalization of multilevel functional principal components.  ... 
doi:10.1198/jcgs.2011.10122 pmid:25960627 pmcid:PMC4425352 fatcat:mhfmpsriqvg7pbkor73pkldgyy

Advances in functional and structural MR image analysis and implementation as FSL

Stephen M. Smith, Mark Jenkinson, Mark W. Woolrich, Christian F. Beckmann, Timothy E.J. Behrens, Heidi Johansen-Berg, Peter R. Bannister, Marilena De Luca, Ivana Drobnjak, David E. Flitney, Rami K. Niazy, James Saunders (+5 others)
2004 NeuroImage  
This research has focussed on the development of new methodologies for the analysis of both structural and functional magnetic resonance imaging data .  ...  In this paper, we present a review of the research carried out by the Analysis Group at the Oxford Centre for Functional MRI of the Brain (FMRIB).  ...  Acknowledgements We are grateful for financial support from the UK Medical Research Council, the UK Engineering and Physical Sciences Research Council, The Wellcome Trust, GlaxoSmithKline and the Medical Images  ... 
doi:10.1016/j.neuroimage.2004.07.051 pmid:15501092 fatcat:5zxejlngyvhx3eb36pgrjuv4r4

Fast Parallel Unbiased Diffeomorphic Atlas Construction on Multi-Graphics Processing Units [article]

Linh K. Ha, Jens Krüger, P. Thomas Fletcher, Sarang Joshi, Claudio T. Silva
2009 Eurographics Symposium on Parallel Graphics and Visualization  
The method operates on a large set of images, mapping them all into a common coordinate system, and creating an unbiased common template for studying intra-population variability and interpopulation differences  ...  Unbiased diffeomorphic atlas construction has proven to be a powerful technique for medical image analysis, particularly in brain imaging.  ...  [RS01] proposed to use GPUs as fast vector coprocessors to solve Finite Element Method (FEM) problems.  ... 
doi:10.2312/egpgv/egpgv09/041-048 fatcat:iric4eshtvazxfshsry4qgmrju

Salient object detection: A survey

Ali Borji, Ming-Ming Cheng, Qibin Hou, Huaizu Jiang, Jia Li
2019 Computational Visual Media  
We aim to provide a comprehensive review of recent progress in salient object detection and situate this field among other closely related areas such as generic scene segmentation, object proposal generation  ...  While many models have been proposed and several applications have emerged, a deep understanding of achievements and issues remains lacking.  ...  A similar idea for estimating regional saliency using multiple hierarchical segmentations is adopted in Refs. [42, 98] . Li et al.  ... 
doi:10.1007/s41095-019-0149-9 fatcat:rwh3mzauinfj7na5ewo6wfp26e

Analysis of variance?why it is more important than ever

Andrew Gelman
2005 Annals of Statistics  
Discussion of "Analysis of variance--why it is more important than ever" by A. Gelman [math.ST/0504499]  ...  We thank Hal Stern for help with the linear model formulation; John Nelder, Donald Rubin, Iven Van Mechelen and the editors and referees for helpful comments; and Alan Edelman for the data used in Section  ...  Recent statistical research has revealed many sorts of useful densely parameterized models, including hierarchical regressions, splines, wavelets, mixture models, image models, and so on.  ... 
doi:10.1214/009053604000001048 fatcat:drlm4sjvxbg7rayqzzngsc67qy

Fast noniterative registration of magnetic resonance images

Nicolino J. Pizzi, Murray Alexander, Rodrigo A. Vivanco, Raymond L. Somorjai, Milan Sonka, Kenneth M. Hanson
2001 Medical Imaging 2001: Image Processing  
The registration method is robust to noise, offers a flexible hierarchical procedure, is easily generalizable to 3D registration, and is well suited to parallel processing.  ...  Two dimensional image registration coefficients are obtained within EvIdent by solving a regression problem based on integration of a linearized matching equation over a set of patches in the image space  ...  A fast hierarchical registration algorithm 12 is implemented as a preprocessing option in EvIdent.  ... 
doi:10.1117/12.431045 dblp:conf/miip/PizziAVS01 fatcat:fxssdwpgzffxtekk27zrqyatnu

Nested Gibbs sampling for mixture-of-mixture model and its application to speaker clustering

Naohiro Tawara, Tetsuji Ogawa, Shinji Watanabe, Tetsunori Kobayashi
2016 APSIPA Transactions on Signal and Information Processing  
This paper proposes a novel model estimation method, which uses nested Gibbs sampling to develop a mixture-of-mixture model to represent the distribution of the model's components with a mixture model.  ...  To avoid this problem, we introduce a Markov chain Monte Carlo-based model estimation method. In particular, we aim to identify a suitable sampling method for the mixture-of-mixture models.  ...  directly and obtain an unbiased estimation.  ... 
doi:10.1017/atsip.2016.15 fatcat:fjzl4bgmxzhadcxfbegk6nqyvm

Automatic Framework for Spectral–Spatial Classification Based on Supervised Feature Extraction and Morphological Attribute Profiles

Pedram Ghamisi, Jon Atli Benediktsson, Gabriele Cavallaro, Antonio Plaza
2014 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
, by using a set of representative samples for each class, referred to as training samples.  ...  Therefore, in this thesis, a special emphasis is given on proposing robust techniques in terms of classification accuracies as well as being fast. In  ...  Property-based thresholding methods are fast, which makes them suitable for multilevel thresholding.  ... 
doi:10.1109/jstars.2014.2298876 fatcat:nxj4xswdlvc3bb47wujib2lahi

Survey of contemporary trends in color image segmentation

Sreenath Rao Vantaram, Eli Saber
2012 Journal of Electronic Imaging (JEI)  
We provide a comprehensive survey of color image segmentation strategies adopted over the last decade, though notable contributions in the gray scale domain will also be discussed.  ...  In order to achieve the above, tools such as image segmentation provide the appropriate foundation for expediting and improving the effectiveness of subsequent high-level tasks by providing a condensed  ...  Carlson Center for Imaging Science and the Department of Electrical and Microelectronic Engineering, Rochester Institute of Technology, Rochester, NY.  ... 
doi:10.1117/1.jei.21.4.040901 fatcat:dco5abqsvzcuxi5ydktbssz6xi

Spectral–Spatial Hyperspectral Image Classification With Edge-Preserving Filtering

Xudong Kang, Shutao Li, Jon Atli Benediktsson
2014 IEEE Transactions on Geoscience and Remote Sensing  
First, the hyperspectral image is classified using a pixelwise classifier, e.g., the support vector machine classifier.  ...  Experimental results demonstrate that the proposed edge-preserving filtering based classification method can improve the classification accuracy significantly in a very short time.  ...  Li for providing the software of the AEAP and the L-MLL methods.  ... 
doi:10.1109/tgrs.2013.2264508 fatcat:dee7r2s7qva73fthrxpgb33yx4

Computer vision and machine learning for robust phenotyping in genome-wide studies

Jiaoping Zhang, Hsiang Sing Naik, Teshale Assefa, Soumik Sarkar, R. V. Chowda Reddy, Arti Singh, Baskar Ganapathysubramanian, Asheesh K. Singh
2017 Scientific Reports  
The results illustrate the reliability and advantage of ML-enabled image-phenotyping pipeline by identifying previously reported locus and a novel locus harboring a gene homolog involved in iron acquisition  ...  A machine learning (ML)-enabled image-phenotyping pipeline for the genetic studies of abiotic stress iron deficiency chlorosis (IDC) of soybean is reported.  ...  A hierarchical multilevel linear support vector machine (SVM) was the best classifier.  ... 
doi:10.1038/srep44048 pmid:28272456 pmcid:PMC5358742 fatcat:wns7jjdzlbf7jdqsb3fj5jd6ne

2019 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 12

2019 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
Davari, A., +, JSTARS July 2019 2107-2120 Fast Factorized Backprojection Imaging Algorithm Integrated With Motion Trajectory Estimation for Bistatic Forward-Looking SAR.  ...  ., +, JSTARS May 2019 1461-1470 A Hierarchical Multiscale Super-Pixel-Based Classification Method for Extracting Urban Impervious Surface Using Deep Residual Network From WorldView-2 and LiDAR Data.  ... 
doi:10.1109/jstars.2020.2973794 fatcat:sncrozq3fjg4bgjf4lnkslbz3u
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