A Computational Introduction to Digital Image Processing

This bestseller explores the nature and use of digital images and shows 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 algorithm, LZW compression, and other topics.