A Computational Introduction to Digital Image Processing, Second Edition explores the nature and use of digital images and shows you how they can be obtained, stored, and displayed. Along with MATLAB, this second edition now includes GNU Octave and Python, 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 alogirthm, LZW compression, and other topics. Features Uses both open-source and commercial software to provide a complete environment for image processing that is easy to use, explain, and extend, Presents a discrete mathematics approach that links the calculus-based (continuous) theory with its discrete implementation, Provides a strong connection between theory and practice, allowing you to develop your own functions for implementing specific image processing algorithms, Incorporates many examples of images accompanied with commands in each of the three software systems, enabling you to create the images from the text Book jacket.