Brezplačna dostava za naročila nad 69,99 € na prevzemna mesta DPD in Express One.

Preverjanje stanja naročila

Postanite del skupnosti ljubiteljev knjig z vsega sveta in uživajte v številnih ugodnostih. Ustvarite brezplačen račun

Brezplačna dostava Zásilkovna nad 69.99 €

Zbirna točka GLS 4.49 € Zbirna točka DPD 2.99 € Kurirska služba GLS 5.49 € Kurir DPD 3.49 € Kurirska služba Express One 3.49 € Zbirno mesto Express One 3.49 € Zbirno mesto Pošte Slovenije 3.49 € Dostava preko Pošte Slovenije 3.49 €

Kontakt

Kako nakupovati

Pomoč

Moj račun

▸ Prazna :-(

Brezplačna dostava za naročila nad 69,99 € na prevzemna mesta DPD in Express One.

Digital Image Processing, Global Edition

Name: Digital Image Processing, Global Edition
Brand: PEARSON Education Limited
SKU: 16431954
Price: 110.38 EUR
Availability: InStock
Author: Rafael C. Gonzalez
ISBN: 9781292223049

Rafael C. Gonzalez

Richard E. Woods

Jezik

Angleščina

Knjiga Mehka

Koda Libristo: 16431954

Založba PEARSON Education Limited, september 2017

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

Koda Libristo: 16431954

269 b

110.38 €

Na zalogi pri dobavitelju Odposlali bomo v 3-5 dneh

Do 30 dni za vračilo

Drugi so kupili tudi

Deep Learning for Vision Systems Mohamed Elgendy

Mehka

54.48 €

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

Mehka

26.33 €

Machine Learning Design Patterns Sara Robinson

Mehka

47.44 €

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

Mehka

33.37 €

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

Mehka

92.38 €

Deep Learning John D. Kelleher

Mehka

14.37 €

Pattern Recognition and Tracking Using Correlation Filters Sharif M a Bhuiyan

Mehka

67.95 €

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

Mehka

49.15 €

Kubernetes and Docker - An Enterprise Guide Scott Surovich

Mehka

54.68 €

Visual Object Tracking with Deep Neural Networks Srinivasan Ramakrishnan

Trda

107.26 €

Analytic Combinatorics for Multiple Object Tracking Murat Efe

Trda

125.76 €

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

Mehka

54.68 €

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

Mehka

61.22 €

Professional C# and .NET - 2021 Edition Christian Nagel

Mehka

40.30 €

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

Mehka

10.34 €

Image Processing Handbook RUSS

Mehka

133.10 €

Advanced Image and Video Processing Using MATLAB Shengrong Gong

Mehka

67.85 €

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

Mehka

11.75 €

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

Mehka

125.36 €

Voyage of the Beagle Charles Darwin

Mehka

11.65 €

Cracking the Coding Interview Gayle Laakmann McDowell

Mehka

47.24 €

Software Architecture Patterns for Serverless Systems John Gilbert

Mehka

60.11 €

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

Mehka

78.61 €

Book Of Kubernetes Hohn

Mehka

39.30 €

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.