Digital Image Processing An Algorithmic Introduction

This Modern, Self-contained Textbook Provides An Accessible Introduction To The Field Fromnbsp;the Perspective Of A Practicing Programmer, Supporting A Detailed Presentation Of Thenbsp;fundamental Concepts And Techniques With Practical Exercises And Fully Worked Outnbsp;implementation Examples. This Much-anticipated 3rd Edition Of The Definitive Textbook Onnbsp;digital Image Processing Has Been Completely Revised And Expanded With Content, Improved Illustrations And Teaching Material.topics And Features:contains Chapters On Fitting Of Geometric Primitives, Randomized Featurenbsp;detection (ransac), And Maximally Stable Extremal Regions (mser).includes Exercises For Most Chapters And Provides Additional Supplementarymaterials And Software Implementations At An Associated Website.uses Imagej For All Examples, A Widely Open Source Imaging Environment Thatcan Run On All Major Platforms.describes Each Solution In A Stepwise Manner In Mathematical Form, As Abstractnbsp;pseudocode Algorithms, And As Complete Java Programs That Can Be Easily Ported Tonbsp;other Programming Languages.presents Suggested Outlines For A One- Or Two-semester Course In The Preface.advanced Undergraduate And Graduate Students Will Find This Comprehensive And Example-rich Textbook Will Serve As The Ideal Introduction To Digital Image Processing. It Will Also Provenbsp;invaluable To Researchers And Professionals Seeking A Practically Focused Self-study Primer.