Raspberry Pi image processing programming : with NumPy, SciPy, Matplotlib, and OpenCV / Ashwin Pajankar
Material type:
TextPublication details: New York Apress Media 2022Edition: 2Description: 245 pISBN: - 9781484291412
- 005.133 PAJ-A
| Item type | Current library | Collection | Shelving location | Call number | Copy number | Status | Date due | Barcode | Item holds |
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BITS Pilani Hyderabad | 003-007 | General Stack (For lending) | 005.133 PAJ-A (Browse shelf(Opens below)) | INR 699.00. | Checked out | 13/08/2024 | 47251 |
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| 005.133 OVE-B C++ for the impatient / | 005.133 PAD-P C and data structures / | 005.133 PAD-P C and data structures / | 005.133 PAJ-A Raspberry Pi image processing programming : with NumPy, SciPy, Matplotlib, and OpenCV / | 005.133 PAL-M C programming : including numerical and statistical methods / | 005.133 PAN-P Practical approach to programming in C wuth application to data structures / | 005.133 PAN-P Programming in C / |
Understand the concepts of image processing with Python 3 and create applications using Raspberry Pi 4. This book covers image processing with the latest release of Python 3, using Raspberry Pi OS and Raspberry Pi 4B with the 8 GB RAM model as the preferred computing platform.
This second edition begins with the installation of Raspberry Pi OS on the latest model of Raspberry Pi and then introduces Python programming language, IDEs for Python, and digital image processing. It also illustrates the theoretical foundations of Image processing followed by advanced operations in image processing. You'll then review image processing with NumPy, and Matplotlib followed by transformations, interpolation, and measurements of images.
Different types of filters such as Kernels convolution filters, low pass filters, high pass filters, and Fourier filters are discussed in a clear, methodical manner. Additionally, the book examines various image processing techniques such as Morphology, Thresholding, and Segmentation, followed by a chapter on live webcam input with OpenCV, an image processing library with Python. The book concludes with an appendix covering a new library for image processing with Python, pgmagik, followed by a few important tips and tricks relevant to RPi.
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