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Combining Multiple Segmentation Methods for Improving the Segmentation Accuracy

by Sultan Aljahdali
"... Abstract: In this paper, an alternative method based on decision fusion is presented to improve the segmentation accuracy. The proposed method concludes multiple methods instead of a single one. It consists ofa set ofsegmentation methods that are consulted in parallel. The decisions ofthe various me ..."
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Abstract: In this paper, an alternative method based on decision fusion is presented to improve the segmentation accuracy. The proposed method concludes multiple methods instead of a single one. It consists ofa set ofsegmentation methods that are consulted in parallel. The decisions ofthe various

Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multi-band Image Segmentation

by Song Chun Zhu, Alan Yuille - IEEE Transactions on Pattern Analysis and Machine Intelligence , 1996
"... We present a novel statistical and variational approach to image segmentation based on a new algorithm named region competition. This algorithm is derived by minimizing a generalized Bayes/MDL criterion using the variational principle. The algorithm is guaranteed to converge to a local minimum and c ..."
Abstract - Cited by 774 (20 self) - Add to MetaCart
We present a novel statistical and variational approach to image segmentation based on a new algorithm named region competition. This algorithm is derived by minimizing a generalized Bayes/MDL criterion using the variational principle. The algorithm is guaranteed to converge to a local minimum

Multimodality Image Registration by Maximization of Mutual Information

by Frederik Maes, André Collignon, Dirk Vandermeulen, Guy Marchal, Paul Suetens - IEEE TRANSACTIONS ON MEDICAL IMAGING , 1997
"... A new approach to the problem of multimodality medical image registration is proposed, using a basic concept from information theory, mutual information (MI), or relative entropy, as a new matching criterion. The method presented in this paper applies MI to measure the statistical dependence or in ..."
Abstract - Cited by 791 (10 self) - Add to MetaCart
and no limiting constraints are imposed on the image content of the modalities involved. The accuracy of the MI criterion is validated for rigid body registration of computed tomography (CT), magnetic resonance (MR), and photon emission tomography (PET) images by comparison with the stereotactic registration

Gradient-based learning applied to document recognition

by Yann Lecun, Léon Bottou, Yoshua Bengio, Patrick Haffner - Proceedings of the IEEE , 1998
"... Multilayer neural networks trained with the back-propagation algorithm constitute the best example of a successful gradientbased learning technique. Given an appropriate network architecture, gradient-based learning algorithms can be used to synthesize a complex decision surface that can classify hi ..."
Abstract - Cited by 1533 (84 self) - Add to MetaCart
to deal with the variability of two dimensional (2-D) shapes, are shown to outperform all other techniques. Real-life document recognition systems are composed of multiple modules including field extraction, segmentation, recognition, and language modeling. A new learning paradigm, called graph

Predicting Segmentation Accuracy for Biological Cell Images (in process

by Adele P. Peskin, Alden A. Dima, Joe Chalfoun, John T. Elliot
"... Abstract. We have performed segmentation procedures on a large number of images from two mammalian cell lines that were seeded at low density, in order to study trends in the segmentation results and make predictions about cellular features that affect segmentation accuracy. By comparing segmentatio ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
Abstract. We have performed segmentation procedures on a large number of images from two mammalian cell lines that were seeded at low density, in order to study trends in the segmentation results and make predictions about cellular features that affect segmentation accuracy. By comparing

Enhancing the Character Segmentation Accuracy of Bangla OCR using BPNN

by Shamim Ahmed, Mohammod Abul Kashem
"... Abstract: Bangla is one of the most popular scripts in the world, the second most popular language in the Indian subcontinent. About 200 million people of eastern India and Bangladesh use this language, making it fourth most popular in the world. We study and examine the various kinds of problems or ..."
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or limitations that arise during the segmentation of Bangla characters and try to minimize that problems or limitations. The main aim of this proposed research is to improving the character segmentation (line, word, and character segmentations) accuracy of Bangla Optical Character Recognition (OCR) system

Effects of registration regularization and atlas sharpness on segmentation accuracy,” Med

by B. T. Thomas Yeo, Mert R. Sabuncu, Rahul Desikan, Bruce Fischl, Polina Golland - Image Anal , 2008
"... Abstract. In this paper, we propose a unified framework for computing atlases from manually labeled data at various degrees of “sharpness ” and the joint registration-segmentation of a new brain with these atlases. In non-rigid registration, the tradeoff between warp regularization and image fidelit ..."
Abstract - Cited by 24 (10 self) - Add to MetaCart
Abstract. In this paper, we propose a unified framework for computing atlases from manually labeled data at various degrees of “sharpness ” and the joint registration-segmentation of a new brain with these atlases. In non-rigid registration, the tradeoff between warp regularization and image

Accepted to MICCAI 2007 Effects of Registration Regularization and Atlas Sharpness on Segmentation Accuracy

by B. T. Thomas Yeo, Mert R. Sabuncu, Rahul Desikan, Bruce Fischl, Polina Golland
"... Abstract. In this paper, we propose a unified framework for computing atlases from manually labeled data at various degrees of “sharpness ” and the joint registration-segmentation of a new brain with these atlases. In non-rigid registration, the tradeoff between warp regularization and image fidelit ..."
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Abstract. In this paper, we propose a unified framework for computing atlases from manually labeled data at various degrees of “sharpness ” and the joint registration-segmentation of a new brain with these atlases. In non-rigid registration, the tradeoff between warp regularization and image

Semantic Texton Forests for Image Categorization and Segmentation

by Jamie Shotton, Matthew Johnson, Roberto Cipolla
"... We propose semantic texton forests, efficient and powerful new low-level features. These are ensembles of decision trees that act directly on image pixels, and therefore do not need the expensive computation of filter-bank responses or local descriptors. They are extremely fast to both train and tes ..."
Abstract - Cited by 304 (13 self) - Add to MetaCart
dataset. Our results significantly advance the state-of-the-art in segmentation accuracy, and furthermore, our use of efficient decision forests gives at least a five-fold increase in execution speed.

The Node Distribution of the Random Waypoint Mobility Model for Wireless Ad Hoc Networks

by Christian Bettstetter, Giovanni Resta, Paolo Santi , 2003
"... The random waypoint model is a commonly used mobility model in the simulation of ad hoc networks. It is known that the spatial distribution of network nodes moving according to this model is, in general, nonuniform. However, a closed-form expression of this distribution and an in-depth investigation ..."
Abstract - Cited by 377 (10 self) - Add to MetaCart
-depth investigation is still missing. This fact impairs the accuracy of the current simulation methodology of ad hoc networks and makes it impossible to relate simulation-based performance results to corresponding analytical results. To overcome these problems, we present a detailed analytical study of the spatial
Results 1 - 10 of 6,586