Best Reference Books – Image and Vision Computing

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We have compiled a list of 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 best reference books on Image and Vision Computing.

We have put a lot of effort into researching the best books for reference on this subject and came out with a recommended list of best books. The table below contains a review of these books and 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 books; the table serves as a ready reckoner list of these best books.

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1. “Pattern Recognition and Machine Learning (Information Science and Statistics)” by Christopher M Bishop
2. “Visibility Algorithms in the Plane” by Subir Kumar Ghosh
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
4. “Geometric Computing with Clifford Algebras: Theoretical Foundations and Applications in Computer Vision and Robotics” by Gerald Sommer
5. “OpenCV: Computer Vision Projects with Python” by Joseph Howse and Prateek Joshi
6. “Image Processing, Analysis and Machine Vision” by Milan Sonka and Vaclav Hlavac
7. “Algorithms for Image Processing and Computer Vision” by J R Parker
8. “Lightroom Transformations: Realizing your vision with Adobe Lightroom plus Photoshop” by Martin Evening
9. “Learning Image Processing with OpenCV” by Gloria Bueno Garcia and Oscar Deniz Suarez
10. “Digital Image Processing and Analysis: Human and Computer Vision Applications with CVIPtools” by Scott E Umbaugh

People who are searching for Free downloads of books and free pdf copies of these books – “Pattern Recognition and Machine Learning (Information Science and Statistics)” by Christopher M. Bishop, “Visibility Algorithms in the Plane” by Subir Kumar Ghosh, “Deep Learning and Convolutional Neural Networks for Medical Image Computing: Precision Medicine, High Performance and Large-Scale Datasets” by Le Lu and Gustavo Carneiro, “Geometric Computing with Clifford Algebras: Theoretical Foundations and Applications in Computer Vision and Robotics” by Gerald Sommer, “OpenCV: Computer Vision Projects with Python” by Joseph Howse and Prateek Joshi, “Image Processing, Analysis and Machine Vision” by Milan Sonka and Vaclav Hlavac, “Algorithms for Image Processing and Computer Vision” by J R Parker, “Lightroom Transformations: Realizing your vision with Adobe Lightroom plus Photoshop” by Martin Evening, “Learning Image Processing with OpenCV” by Gloria Bueno Garcia and Oscar Deniz Suarez, “Digital Image Processing and Analysis: Human and Computer Vision Applications with CVIPtools” by Scott E Umbaugh – 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, 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