Doprava zdarma při nákupu nad 1 499 Kč přes Zásilkovnu nebo PPL Box.

Zjistit stav objednávky

Staňte se součástí komunity milovníků knih z celého světa a získejte hromadu výhod. Založit účet zdarma

Doprava zdarma se Zásilkovnou nad 1 499 Kč

Kurýr DPD 69 Kč PPL shop 49 Kč Balíkovna 69 Kč PPL kurýr 74 Kč PPL box 39 Kč Balíkovna 49 Kč Výdejní místo DPD 49 Kč Zásilkovna 39 Kč

Kontakt

Jak nakupovat

Pomoc

Můj účet

▸ Prázdný :-(

Doprava zdarma při nákupu nad 1 499 Kč přes Zásilkovnu nebo PPL Box.

Digital Image Processing, Global Edition

Name: Digital Image Processing, Global Edition
Brand: PEARSON Education Limited
SKU: 16431954
Price: 2819 CZK
Availability: InStock
Author: Rafael C. Gonzalez
ISBN: 9781292223049

Rafael C. Gonzalez

Richard E. Woods

Jazyk

Angličtina

Kniha Brožovaná

Libristo kód: 16431954

Nakladatelství PEARSON Education Limited, září 2017

For courses in Image Processing and Computer Vision. Introduce your students to image processing wit... Celý popis

Libristo kód: 16431954

282 b

2 819 Kč

Skladem u dodavatele Odesíláme za 10-18 dnů

30 dní na vrácení zboží

Zákazníci také koupili

Deep Learning for Vision Systems Mohamed Elgendy

Brožovaná

1 329 Kč

The Comprehensive Guide to Science and Faith: Exploring the Ultimate Questions about Life and the Cosmos Joseph M. Holden

Brožovaná

505 Kč

Machine Learning Design Patterns Sara Robinson

Brožovaná

1 124 Kč

Real Time Multi Object Detection and Tracking Using Deep Learning Bosco Paul Alapatt

Brožovaná

813 Kč

Operating Systems: Internals and Design Principles, Global Edition William Stallings

Brožovaná

2 249 Kč

Deep Learning John D. Kelleher

Brožovaná

341 Kč

Analytic Combinatorics for Multiple Object Tracking Murat Efe

Pevná

3 062 Kč

Object Tracking Using Hybrid Mean Shift & Particle Filter Algorithms Asad Naeem

Brožovaná

1 668 Kč

Pattern Recognition and Tracking Using Correlation Filters Sharif M a Bhuiyan

Brožovaná

1 632 Kč

Visual Object Tracking with Deep Neural Networks Srinivasan Ramakrishnan

Pevná

2 613 Kč

C# 11 and .NET 7 - Modern Cross-Platform Development Fundamentals - Seventh Edition Mark J. Price

Brožovaná

1 164 Kč

Kubernetes and Docker - An Enterprise Guide Scott Surovich

Brožovaná

1 229 Kč

Software Architecture with C# 10 and .NET 6 Francesco Abbruzzese

Brožovaná

1 229 Kč

Professional C# and .NET - 2021 Edition Christian Nagel

Brožovaná

956 Kč

Cracking the Data Science Interview: 101+ Data Science Questions & Solutions Maverick Lin

Brožovaná

264 Kč

Exam Ref 70-774 Perform Cloud Data Science with Azure Machine Learning Paco Gonzalez

Brožovaná

201 Kč

Advanced Image and Video Processing Using MATLAB Shengrong Gong

Brožovaná

1 652 Kč

Architecture of Computer Hardware, Systems Software, and Networking Irv Englander

Brožovaná

2 974 Kč

Voyage of the Beagle Charles Darwin

Brožovaná

276 Kč

Cracking the Coding Interview Gayle Laakmann McDowell

Brožovaná

1 051 Kč

Software Architecture Patterns for Serverless Systems John Gilbert

Brožovaná

1 426 Kč

C# 10 and .NET 6 - Modern Cross-Platform Development Mark J. Price

Brožovaná

1 766 Kč

Book Of Kubernetes Hohn

Brožovaná

925 Kč

High-Performance Programming in C# and .NET Jason Alls

Brožovaná

1 230 Kč

For courses in Image Processing and Computer Vision.

Introduce your students to image processing with the industry's most prized text

For 40 years, Image Processing has been the foundational text for the study of digital image processing. The book is suited for students at the college senior and first-year graduate level with prior background in mathematical analysis, vectors, matrices, probability, statistics, linear systems, and computer programming. As in all earlier editions, the focus of this edition of the book is on fundamentals.

The 4th Edition, which celebrates the book's 40th anniversary, is based on an extensive survey of faculty, students, and independent readers in 150 institutions from 30 countries. Their feedback led to expanded or new coverage of topics such as deep learning and deep neural networks, including convolutional neural nets, the scale-invariant feature transform (SIFT), maximally-stable extremal regions (MSERs), graph cuts, k-means clustering and superpixels, active contours (snakes and level sets), and exact histogram matching. Major improvements were made in reorganizing the material on image transforms into a more cohesive presentation, and in the discussion of spatial kernels and spatial filtering. Major revisions and additions were made to examples and homework exercises throughout the book.