Hallo! Tracked shipping to Austria with Delivery Duty Paid for just €3.99  

Ship to
Austria
0

My Account

  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

menu

Select your country

Americas

Europe

Rest of the world

portada Handbook of Texture Analysis: Generalized Texture for Ai-Based Industrial Applications
Type
Physical Book
Publisher
Author
Language
English
Pages
224
Format
Hardcover
ISBN13
9780367483449
Edition No.
1

Handbook of Texture Analysis: Generalized Texture for Ai-Based Industrial Applications

El-Baz Ayman,Mohammad A. Ghazal,Suri Jasjit S. (Author) · Crc Press · Hardcover

Handbook of Texture Analysis: Generalized Texture for Ai-Based Industrial Applications - El-Baz Ayman,Mohammad A. Ghazal,Suri Jasjit S.

Cheaper New Book Imported to Austria
Delivery: 07 Sep - 14 Sep Shipping: 18 to 22 business days.
191,99 €
Faster New Book Imported to Austria
Delivery: 17 Aug - 19 Aug Shipping: 4 to 5 business days.
326,45 €
Import costs and 10% VAT included in the price ✅
191,99 €

Choose the list to add your product or create one New List

Go to My Wishlists
Calculate shipping cost

Synopsis "Handbook of Texture Analysis: Generalized Texture for Ai-Based Industrial Applications"

The major goals of texture research in computer vision are to understand, model and process texture, and ultimately to simulate the human visual learning process using computer technologies. In the last decade, artificial intelligence has been revolutionized by machine learning and big data approaches, outperforming human prediction on a wide range of problems. In particular, deep learning convolutional neural networks (CNNs) are particularly well suited to texture analysis. This book examines four major application domains related to texture analysis and their relationship to AI-based industrial applications: texture classification, texture segmentation, shape from texture, and texture synthesis. - Discusses texture-based segmentation for extracting image shape features, modeling and segmentation of noisy and textured images, spatially constrained color-texture model for Image Segmentation, and texture segmentation using Gabor filters. - Examines textural features for image classification, a statistical approach for classification, texture classification from random features, and applications of texture classifications - Describes shape from texture, including general principles, 3D shapes, and equations for recovering shape from texture - Surveys texture modeling, including extraction based on Hough transformation and cycle detection, image quilting, gray level run lengths, and use of Markov random fields Aimed at researchers, academics, and advanced students in biomedical engineering, image analysis, cognitive science, and computer science and engineering, this is an essential reference for those looking to advance their understanding in this applied and emergent field.

Customers reviews

More customer reviews
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

Is the book original?

All books in our catalog are Original.

In what language is the book written?

The book is written in English.

What is the format of this book?

The binding of this edition is Hardcover.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews