Results 1  10
of
1,651
Binary SegmentationBased Image Coding
"... The Minimal Message Length (MML) Principle has been proposed by Wallace as an objective method for comparing different models which are seeking to explain a body of data. We apply MML to the problem of comparing different bilevel segmentations of an image. This is done by generalising the concept o ..."
Abstract
 Add to MetaCart
of an MML twopart message to the problem domain of images. The model part of the twopart message is a binary image which identifies the bilevel segmentation while the second part of the message contains the information which combined with the binary image allows exact reconstruction of the original image
Energybased binary segmentation of snow microtomographic images
"... Xray microtomography has become an essential tool to investigate the mechanical and physical properties of snow, which are tied to its microstructure. A crucial step in the 3D image processing is the binary segmentation of the grayscale Xray attenuation coefficient image to a binary ice/pore imag ..."
Abstract

Cited by 3 (3 self)
 Add to MetaCart
Xray microtomography has become an essential tool to investigate the mechanical and physical properties of snow, which are tied to its microstructure. A crucial step in the 3D image processing is the binary segmentation of the grayscale Xray attenuation coefficient image to a binary ice
Quadratic Markovian Probability Fields for Image Binary Segmentation
"... Figure 1. Image model generation. I1 and I2 are the original data, α is matting factor and g is the observed image. We present a Markov Random Field model for image binary segmentation that computes the probability that each pixel belongs to a given class. We show that the computation of a real valu ..."
Abstract

Cited by 3 (3 self)
 Add to MetaCart
Figure 1. Image model generation. I1 and I2 are the original data, α is matting factor and g is the observed image. We present a Markov Random Field model for image binary segmentation that computes the probability that each pixel belongs to a given class. We show that the computation of a real
Binary Segmentation Masks for Registration of Bone Structures in CT Images
"... Abstract. Rigid registration of bone structures in stacks of CT images can be improved by using a binary segmentation mask for the registration compared to using the segmented grey values directly. Three criteria are applied to the different reference and template datasets in order to quantify regis ..."
Abstract
 Add to MetaCart
Abstract. Rigid registration of bone structures in stacks of CT images can be improved by using a binary segmentation mask for the registration compared to using the segmented grey values directly. Three criteria are applied to the different reference and template datasets in order to quantify
Algorithms for mining association rules for binary segmentations of huge categorical databases
 Proc. of VLDB
, 1998
"... We consider the problem of finding association rules that make nearly optimal binary segmentations of huge categorical databases. The optimality of segmentation is defined by an objective function suitable for the user’s objective. An objective function is usually defined in terms of the distrib ..."
Abstract

Cited by 25 (1 self)
 Add to MetaCart
We consider the problem of finding association rules that make nearly optimal binary segmentations of huge categorical databases. The optimality of segmentation is defined by an objective function suitable for the user’s objective. An objective function is usually defined in terms
Partitioning Parallel Documents Using Binary Segmentation
"... In statistical machine translation, large numbers of parallel sentences are required to train the model parameters. However, plenty of the bilingual language resources available on web are aligned only at the document level. To exploit this data, we have to extract the bilingual sentences from these ..."
Abstract

Cited by 3 (1 self)
 Add to MetaCart
these documents. The common method is to break the documents into segments using predefined anchor words, then these segments are aligned. This approach is not error free, incorrect alignments may decrease the translation quality. We present an alternative approach to extract the parallel sentences
Binary Segmentation of Video Sequences in Real Time
"... Abstract. We present a method for foregroundbackground video segmentation in real time that may be used in applications as Background Substitution, Analysis of Surveillance Cameras, Highway Cars Detection and so on. Our approach implements a probabilistic segmentation based on the binary Quadratic ..."
Abstract
 Add to MetaCart
Abstract. We present a method for foregroundbackground video segmentation in real time that may be used in applications as Background Substitution, Analysis of Surveillance Cameras, Highway Cars Detection and so on. Our approach implements a probabilistic segmentation based on the binary Quadratic
Constrained Elastic Surface Nets: Generating smooth surfaces from binary segmented data
 Medical Image Computation and Computer Assisted Interventions
, 1999
"... This paper describes a method for creating object surfaces from binarysegmented data that are free from aliasing and terracing artifacts. ..."
Abstract

Cited by 50 (2 self)
 Add to MetaCart
This paper describes a method for creating object surfaces from binarysegmented data that are free from aliasing and terracing artifacts.
wbs: Wild Binary Segmentation for multiple changepoint detection,
 L. Birge
, 2014
"... Abstract We propose a new technique, called Wild Binary Segmentation (WBS), for consistent estimation of the number and locations of multiple changepoints in data. We assume that the number of changepoints can increase to infinity with the sample size. Due to a certain random localisation mechani ..."
Abstract

Cited by 2 (1 self)
 Add to MetaCart
Abstract We propose a new technique, called Wild Binary Segmentation (WBS), for consistent estimation of the number and locations of multiple changepoints in data. We assume that the number of changepoints can increase to infinity with the sample size. Due to a certain random localisation
Results 1  10
of
1,651