Advances in Image Segmentation
eBook - PDF

Advances in Image Segmentation

  1. 128 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Advances in Image Segmentation

About this book

The field of digital image segmentation is continually evolving. Most recently, the advanced segmentation methods such as Template Matching, Spatial and Temporal ARMA Processes, Mean Shift Iterative Algorithm, Constrained Compound Markov Random Field (CCMRF) model and Statistical Pattern Recognition (SPR) methods form the core of a modernization effort that resulted in the current text.This new edition of "Advanced Image Segmentation" is but a reflection of the significant progress that has been made in the field of image segmentation in just the past few years. The book presented chapters that highlight frontier works in image information processing.

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Yes, you can access Advances in Image Segmentation by Pei-Gee Peter Ho in PDF and/or ePUB format, as well as other popular books in Computer Science & Optical Data Processing. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Advances in Image Segmentation
  2. Contents
  3. Preface
  4. Chapter 1 Template Matching Approaches Applied to Vertebra Detection
  5. Chapter 2 Image Segmentation and Time Series Clustering Based on Spatial and Temporal ARMA Processes
  6. Chapter 3 Image Segmentation Through an Iterative Algorithm of the Mean Shift
  7. Chapter 4 Constrained Compound MRF Model with Bi-Level Line Field for Color Image Segmentation
  8. Chapter 5 Cognitive and Statistical Pattern Recognition Applied in Color and Texture Segmentation for Natural Scenes