Variational Framework for Probabilistic Image Segmentation: Theory and Applications - Image 1

£62.00

It has never been this cheap. We have no record of a lower price.

£62 today · cheaper than every other day in the last 3 months

LAP Lambert Academic Publishing Variational Framework for Probabilistic Image Segmentation: Theory and Applications

Name: Variational Framework for Probabilistic Image Segmentation: Theory and Applications
Brand: LAP Lambert Academic Publishing
Price: 62.0 GBP
Availability: InStock

Mathematics

Price data last checked 37 day(s) ago - refreshing...

View at Amazon

We'll watch every seller, every day. One email when your price arrives.

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 54 days · 54 data points (no recent data)

Historical

Generating forecast…

View at Amazon ↗

Mathematics

Price data last checked 37 day(s) ago - refreshing...

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↑ Price chart
when this has been cheap or pricey

↑ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price Distribution

Price distribution over 54 days • 1 price levels

Days at Price

Price Analysis

Most common price: £62 (54 days, 100.0%)

Price range: £62 - £62

Price levels: 1 different prices over 54 days

Description

Image segmentation is an important field of image processing. It consists in partitioning the image into non-overlapping meaningful homogenous regions i.e. flat regions, movement (stereo, optical flow), model-based, texture, color, ... etc. This has been widely used in different applications, for instance, medical images and robot vision. This work focuses on two main themes. The first is related with image segmentation problem and the second is about an application of segmentation methods to image and video editing. In the last decade especial attention has been paid to segmentation methods that produce a measure of belonging to classes, instead of classical segmentation methods that obtains a label map. The first kind of methods is known in the literature as “soft” segmentation methods while the second group is called as “hard” segmentation methods. This work presents a general framework for “soft” segmentation with spatial coherence through a Markov Random Field prior.

Product Specifications

Brand: LAP Lambert Academic Publishing
Format: paperback
ASIN: 3659219010
Category: Books > Subjects > Science, Nature & Maths > Mathematics
Domain: Amazon UK
Release Date: 24 August 2012
Listed Since: 25 August 2012

Barcode

No barcode data available

It has never been this cheap. We have no record of a lower price.

LAP Lambert Academic Publishing Variational Framework for Probabilistic Image Segmentation: Theory and Applications

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Hypothesis-based image segmentation: A Machine Learning Approach

Video Image Segmentation and Object Detection Using MRF Model: A Spatio-temporal Segmentation scheme for Moving Object Detection

Video Object Segmentation and Tracking: Performance Measures and Active Contour Approaches

Towards Image Understanding: Deformable Contour and Graph-based Image Segmentation and Recognition

Artificial Intelligence in Image Processing: Concepts, Techniques and Applications

A Novel Model Based Approach for Color Texture Analysis: An Application to Satellite Image Segmentation

Uncertain Mathematical Modeling And Applications

Data Driven Synthesis of Composite-Feature Detectors: Application to the Analysis of Volumetric Imaging

Computer Vision: Representing Scenes for Recognition, Retrieval and Content Based Learning

Retrieval of Remotely Sensed Images using Multimodal Approach: Content based image retrieval

Variational Calculus on Time Scales

Uncertainty and Indistinguishability: Application to Modelling with Words

DIGITAL IMAGE PROCESSING: Image Fundamentals,Transforms, Restoration,segmentation,Compression

Automatic extraction of vector representations of line features: Classifying from remotely sensed images

Advances in Image Segmentation

Branding: Perception, Positioning, Segmentation

Issues and Insights of Variational Translation: A Cultural Perspective

Image Processing Applications Study: 2nd Edition

AI-Powered COVID-19 Prediction: A Comprehensive Framework for Severity Assessment Using Deep Learning and Medical Imaging

Analysis and Interpretation of Image Logs

Lingvo-semioticheskie zakonomernosti otobrazheniya kommunikatsii v proze: Monografiya

Multilingual Document Image Analysis: Algorithms for Script and Language Identification

Market Segmentation in FMCG Companies

Mezhkul'turno-kommunikativnaya imagologiya: Monografiya

It has never been this cheap. We have no record of a lower price.

LAP Lambert Academic Publishing Variational Framework for Probabilistic Image Segmentation: Theory and Applications

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Hypothesis-based image segmentation: A Machine Learning Approach

Video Image Segmentation and Object Detection Using MRF Model: A Spatio-temporal Segmentation scheme for Moving Object Detection

Video Object Segmentation and Tracking: Performance Measures and Active Contour Approaches

Towards Image Understanding: Deformable Contour and Graph-based Image Segmentation and Recognition

Artificial Intelligence in Image Processing: Concepts, Techniques and Applications

A Novel Model Based Approach for Color Texture Analysis: An Application to Satellite Image Segmentation

Uncertain Mathematical Modeling And Applications

Data Driven Synthesis of Composite-Feature Detectors: Application to the Analysis of Volumetric Imaging

Computer Vision: Representing Scenes for Recognition, Retrieval and Content Based Learning

Retrieval of Remotely Sensed Images using Multimodal Approach: Content based image retrieval

Variational Calculus on Time Scales

Uncertainty and Indistinguishability: Application to Modelling with Words

DIGITAL IMAGE PROCESSING: Image Fundamentals,Transforms, Restoration,segmentation,Compression

Automatic extraction of vector representations of line features: Classifying from remotely sensed images

Advances in Image Segmentation

Branding: Perception, Positioning, Segmentation

Issues and Insights of Variational Translation: A Cultural Perspective

Image Processing Applications Study: 2nd Edition

AI-Powered COVID-19 Prediction: A Comprehensive Framework for Severity Assessment Using Deep Learning and Medical Imaging

Analysis and Interpretation of Image Logs

Lingvo-semioticheskie zakonomernosti otobrazheniya kommunikatsii v proze: Monografiya

Multilingual Document Image Analysis: Algorithms for Script and Language Identification

Market Segmentation in FMCG Companies

Mezhkul'turno-kommunikativnaya imagologiya: Monografiya