Best Reference Books – Advance Digital Image Processing and Computer Vision

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

Kindly note that we have put a lot of effort into researching the best books on Advance Digital Image Processing and Computer Vision 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 "Advance Digital Image Processing and Computer Vision" 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. “Markov Models for Pattern Recognition: From Theory to Applications (Advances in Computer Vision and Pattern Recognition)” by Gernot A Fink

“Markov Models for Pattern Recognition: From Theory to Applications (Advances in Computer Vision and Pattern Recognition)” Book Review: This book is designed for the students, researchers and scientists. It also discusses the n-gram models and markov models. It also covers the applications of markov models and hidden markov chains. The treatment of EM algorithms is also discussed in detail. It focuses on the practical algorithmic solutions.It consists of solved examples, exercises and short questions at the end of the chapter.

2. “Video Text Detection (Advances in Computer Vision and Pattern Recognition)” by Tong Lu and Shivakumara Palaiahnakote

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“Video Text Detection (Advances in Computer Vision and Pattern Recognition)” Book Review: This book is designed for the students of computer engineering, researchers and scientists. It discusses the practical applications of video text detection. The topics which are covered in this book are pattern recognition, document analysis, image processing and video retrieval. It also focuses on the techniques for multi-modal analysis and performance evaluation.

3. “Statistical Learning and Pattern Analysis for Image and Video Processing (Advances in Computer Vision and Pattern Recognition)” by Nanning Zheng and Jianru Xue

“Statistical Learning and Pattern Analysis for Image and Video Processing (Advances in Computer Vision and Pattern Recognition)” Book Review: This book is designed for the students, researchers and scientists. The topics which are image segmentation, stereo matching, object detection and analysis and visual tracking. It discusses the harmonic analysis and partial differential equations. Along with the theoretical portions it also covers the practical applications of video processing. It consists of examples, exercises and questions at the end of the chapter.

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4. “Advances in Digital Image Processing: Theory, Application, Implementation” by P Stucki

“Advances in Digital Image Processing: Theory, Application, Implementation” Book Review: This book is designed for the students of computer engineering, researchers and scientists. It discusses the tomography and thermography. It explains the large scale integration. It basically deals with theory, limitations and applications of digital image implementation. It focuses on the processing of high­ resolution achromatic and color images. It covers the signal-processing research and design innovation activities.

5. “Machine Learning and Image Interpretation (Advances in Computer Vision and Machine Intelligence)” by Terry Caelli and Walter F Bischof

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“Machine Learning and Image Interpretation (Advances in Computer Vision and Machine Intelligence)” Book Review: This book is designed for the students of computer engineering, researchers and scientists. It focuses on the development of technologies and specific systems that can interpret data. The chapters basically focus on image interpretation. It deals with the applications of machine learning and image interpretation. It explains the concepts with examples, figures and diagrams which will be beneficial for the readers.

6. “Digital Image Processing and Computer Vision” by Milan Sonka and Vaclav Hlavac

“Digital Image Processing and Computer Vision” Book Review: This book is designed for the students, researchers and scientists. It explains all the concepts of image processing and computer vision. It also covers the easy to understand algorithm description of difficult concepts. It also consists of examples, questions and exercises at the end of the chapter.

7. “Principles of Digital Image Processing: Fundamental Techniques” by Wilhelm Burger and Mark J Burge

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“Principles of Digital Image Processing: Fundamental Techniques” Book Review: This book is designed for the students, researchers and scientists. It basically deals with the principles of digital image processing. This book provides the modern, algorithmic introduction to digital image processing. It provides the basic concepts and elementary properties of digital images. The fundamentals techniques used in image processing is also discussed. It also consists of examples, exercises and questions at the end of the chapter.

8. “Image Processing for Computer Graphics and Vision” by Luiz Velho and Alejandro C Frery

“Image Processing for Computer Graphics and Vision” Book Review: This book is designed for the students, researchers and scientists. The topics are signal processing, data discretization and theory of colour. It also explains the operations in images, dithering, half-toning, warping, morphing and image processing. It covers the probability theory for image processing. Along with the theoretical portions it also covers the practical applications of image processing. It also consists of examples,and exercises at the end of the chapter.

9. “Digital Image Processing for Ophthalmology: Detection of the Optic Nerve Head” by imusti

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“Digital Image Processing for Ophthalmology: Detection of the Optic Nerve Head” Book Review: This book is designed for the students of biomedical engineering, researchers and scientists. It explains the diagnostic imaging of the retina. It also discusses an overview of image processing techniques for ophthalmology. It focuses on the hough transform for the detection of lines and circles. It discusses the concepts with examples,figures and diagrams. It also consists of exercises and questions at the end of the chapter.

10. “Digital Image Processing Systems: Proceedings (Lecture Notes in Computer Science)” by Leonard Bolc and Z Kulpa
People who are searching for Free downloads of books and free pdf copies of these top 10 books on Advance Digital Image Processing and Computer Vision – 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 "Advance Digital Image Processing and Computer Vision" so that one can readily see the list of top books on "Advance Digital Image Processing and Computer Vision" and buy the books either online or offline.

If any more book needs to be added to the list of best books on Advance Digital Image Processing and Computer Vision 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