A Computational Introduction to Digital Image Processing, 2/e (Hardcover)

Alasdair McAndrew

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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®, 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.

商品描述(中文翻譯)

《數位影像處理的計算導論,第二版》是一本深受好評且易於理解的書籍,介紹了使用開源和商業軟體進行影像處理的方法。

這本書以嚴謹的初學者角度探討了數位影像的性質和應用,並展示了如何獲取、儲存和顯示影像。書中只涵蓋了涉及簡單數學的主題,但卻提供了對這一學科非常廣泛且深入的介紹。

第二版新增了三種不同的計算選項。除了MATLAB®之外,這一版還包括GNU Octave和Python。使用者可以根據自己的需求選擇最適合的軟體,或者從一個系統遷移到另一個系統。程式以模組化的方式編寫,提供更大的靈活性、程式碼重用性和簡潔性。這一版還包含了新的影像、重新繪製的圖表,以及關於保留邊緣模糊濾鏡、ISODATA閾值化、Radon變換、角點檢測、retinex演算法、LZW壓縮等主題的新討論。

本書基於作者成功的影像處理課程,非常適合課堂使用或自學。書中以直觀的方式說明了如何在MATLAB、GNU Octave和Python中實現影像處理技術。書中包含了大量的例子和練習,讓學生能夠實際操作並練習所學的內容。