Title: A Design Method for Relaxation Labeling Applications (Classic Reprint)
Publisher: Forgotten Books
Publication Date: 2018
Language: English
ISBN 10: 1332871143
ISBN 13: 9781332871148
Binding: PAP
Condition: New
Weight: 100 grams

About this title

Synopsis

Explore a practical approach to solving labeling problems with relaxation labeling.

This concise guide explains how to model objects and possible labels, define how nearby decisions influence each choice, and iteratively improve accuracy until the solution stabilizes.

The book breaks down key concepts you’ll use in real applications: choosing a label set, building assignment weights, and designing support functions that capture how labels interact. It shows how consistency is defined and tested, and it outlines a step‑by‑step algorithm to arrive at reliable label assignments. Practical examples illustrate how patterns of local decisions lead to robust, globally coherent results.

Learn how to represent labeling options as a vector of weights and how to interpret them as probabilities-like values.
Understand the role of support functions and compatibility coefficients in guiding the relaxation process.
See how consistency and convergence are analyzed, with insights into designing effective linear support functions.

Ideal for readers looking to implement or understand relaxation labeling in image analysis, pattern recognition, or related fields where local decisions must agree globally.

"About this title" may belong to another edition of this title.

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