Best Reference Books – Image and Vision Computing

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We have compiled the list of Top 10 Best Reference Books on Image and Vision Computing subject. These books are used by students of top universities, institutes and colleges. Here is the full list of top 10 best books on Image and Vision Computing along with reviews.

Kindly note that we have put a lot of effort into researching the best books on Image and Vision Computing subject and came out with a recommended list of top 10 best books. The table below contains the Name of these best books, their authors, publishers and an unbiased review of books on "Image and Vision Computing" as well as links to the Amazon website to directly purchase these books. As an Amazon Associate, we earn from qualifying purchases, but this does not impact our reviews, comparisons, and listing of these top books; the table serves as a ready reckoner list of these best books.

1. “Pattern Recognition and Machine Learning (Information Science and Statistics)” by Christopher M Bishop

“Pattern Recognition and Machine Learning (Information Science and Statistics)” Book Review: This book introduces Bayesian view points with pattern recognition. It includes different algorithms and situational answers for inference. Graphic models are illustrated in this book for probability distribution. This book covers multivariate calculus, linear algebra and use of other self probability theories.

2. “Visibility Algorithms in the Plane” by Subir Kumar Ghosh

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“Visibility Algorithms in the Plane” Book Review: This book covers visibility algorithms of two dimensions. The book mentions point and weak visibility and shortest paths of basic algorithms. It includes topics like visibility graphs, link paths and visibility queries. It contains lemmas and theorems with other properties. Solved exercises and over 300 figures are present in the book. It is beneficial for researchers and students in computational geometry. This book acts as a guide for people in the field of robotics, computer graphics and geometric graph theory.

3. “Deep Learning and Convolutional Neural Networks for Medical Image Computing: Precision Medicine, High Performance and Large-Scale Datasets” by Le Lu and Gustavo Carneiro

“Deep Learning and Convolutional Neural Networks for Medical Image Computing: Precision Medicine, High Performance and Large-Scale Datasets” Book Review: This book covers the semantic object detection and its approaches. It includes segmentation, medical computing and radiology database mining. This book highlights convolutional neural networks, questions and protocols. Other practical examples are present in the book. The book includes methods of deep learning and landmark detection tasks. It covers 2D and 3D medical imaging. Semantic segmentation techniques with radiology image databases are provided in the book.

4. “Geometric Computing with Clifford Algebras: Theoretical Foundations and Applications in Computer Vision and Robotics” by Gerald Sommer

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“Geometric Computing with Clifford Algebras: Theoretical Foundations and Applications in Computer Vision and Robotics” Book Review: This book focuses on Clifford algebra with its concepts and framework. It explains the examples of how to work with formalism. It describes the geometric algebra for algebraic systems on mother algebra. It discusses the fields of physics and engineering. Different problems of computer science, signal processing, neural computing and robotics are all mentioned in the book.

5. “OpenCV: Computer Vision Projects with Python” by Joseph Howse and Prateek Joshi

“OpenCV: Computer Vision Projects with Python” Book Review: This book is useful for the people who had experience in Python. Computer vision applications are covered in this book. It explains how to install Cvs and other softwares like NumPy, SciPy, OpenNI and SensorKinect. Windows, Linux are applied here. It discusses how to apply colour and geometric transformations to images with filtering and conversion to Cartoon like images. It provides information on how to disappear objects from images, reconstructing the 3D maps as well as tracking salient objects. Vector machines, perceptrons and reality applications are present in the book.

6. “Image Processing, Analysis and Machine Vision” by Milan Sonka and Vaclav Hlavac

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“Image Processing, Analysis and Machine Vision” Book Review: This book focuses on image processing and machine vision. This book acts as a guide for students, researchers and professionals interested in this field. Advanced theorems and concepts on mathematics are covered in this book. This book contains problems and examples of algorithms.

7. “Algorithms for Image Processing and Computer Vision” by J R Parker

“Algorithms for Image Processing and Computer Vision” Book Review: This book covers topics like 2D vision methods, graphic cards and computational aids of image processing. This book is very much useful for software engineers, developers, graphic programmers and scientists of this field. It explains about GPU programming, easy mathematical calculations with certain shortcuts.

8. “Lightroom Transformations: Realizing your vision with Adobe Lightroom plus Photoshop” by Martin Evening

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“Lightroom Transformations: Realizing your vision with Adobe Lightroom plus Photoshop” Book Review: This book gives us ideas on how to transform an ordinary photo into hero shots. It helps us in the usage of montage techniques and wacky effects. It focuses on lightroom and camera Raw, manipulated tones and created photographic vision. This book provides edits to polish any kind of image. Other shooting techniques for different photographs are explained in this book. It helps in photo composition and changing the lighting of the image.

9. “Learning Image Processing with OpenCV” by Gloria Bueno Garcia and Oscar Deniz Suarez

“Learning Image Processing with OpenCV” Book Review: This book is useful for the people who had experience in Python. Computer vision applications are covered in this book. It explains filtering, morphology and sharpening. It discusses how to apply colour and geometric transformations to images with filtering and conversion to Cartoon like images. It provides information on how to disappear objects from images, reconstructing the 3D map as well as tracking salient objects. Inpainting and LUT’s are present in the book. Topics like GPU based accelerations, HDR imaging and library installation are provided in the book. It is very useful in academics and enterprises.

10. “Digital Image Processing and Analysis: Human and Computer Vision Applications with CVIPtools” by Scott E Umbaugh

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“Digital Image Processing and Analysis: Human and Computer Vision Applications with CVIPtools” Book Review: This book discussed the tools for advanced and human vision applications. It contains the acquisition and analysis of image processing. This book explains the image modelling, theories of digital image processing and algorithms. It includes tools of batch processing, sample exercises and imaging algorithms with applications. The book contains new software tools like CVIP-ATAT and CVIP FEPC. Different processes on how to analyse these images, computer vision and assumptions are covered in this book. It describes the CVIP tools environment for algorithms.

People who are searching for Free downloads of books and free pdf copies of these top 10 books on Image and Vision Computing – we would like to mention that we don’t have free downloadable pdf copies of these good books and one should look for free pdf copies from these Authors only if they have explicitly made it free to download and read them.

We have created a collection of best reference books on "Image and Vision Computing" so that one can readily see the list of top books on "Image and Vision Computing" and buy the books either online or offline.

If any more book needs to be added to the list of best books on Image and Vision Computing subject, please let us know.

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Manish Bhojasia - Founder & CTO at Sanfoundry
Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He is Linux Kernel Developer & SAN Architect and is passionate about competency developments in these areas. He lives in Bangalore and delivers focused training sessions to IT professionals in Linux Kernel, Linux Debugging, Linux Device Drivers, Linux Networking, Linux Storage, Advanced C Programming, SAN Storage Technologies, SCSI Internals & Storage Protocols such as iSCSI & Fiber Channel. Stay connected with him @ LinkedIn | Youtube | Instagram | Facebook | Twitter