Highly Regarded‎,‎ Accessible Approach to Image Processing Using Open‎-Source and Commercial Software A Computational Introduction to Digital Image Processing‎,‎ Second Edition explores the nature and use of digital images and shows how they can be obtained‎,‎ stored‎,‎ and displayed‎.‎ Taking a strictly elementary perspective‎,‎ the book only covers topics that involve simple mathematics yet offer a very broad and deep introduction to the discipline‎.‎ New to the Second Edition This second edition provides users with three different computing options‎.‎ Along with MATLAB‎(‎R‎)‎‎,‎ this edition now includes GNU Octave and Python‎.‎ Users can choose the best software to fit their needs or migrate from one system to another‎.‎ Programs are written as modular as possible‎,‎ allowing for greater flexibility‎,‎ code reuse‎,‎ and conciseness‎.‎ This edition also contains new images‎,‎ redrawn diagrams‎,‎ and new discussions of edge‎-preserving blurring filters‎,‎ ISODATA thresholding‎,‎ Radon transform‎,‎ corner detection‎,‎ retinex algorithm‎,‎ LZW compression‎,‎ and other topics‎.‎ Principles‎,‎ Practices‎,‎ and Programming Based on the author‎'‎s successful image processing courses‎,‎ this bestseller is suitable for classroom use or self‎-study‎.‎ In a straightforward way‎,‎ the text illustrates how to implement imaging techniques in MATLAB‎,‎ GNU Octave‎,‎ and Python‎.‎ It includes numerous examples and exercises to give students hands‎-on practice with the material‎.‎