Raspberry Pi Image Processing Programming: With NumPy, SciPy, Matplotlib, and OpenCV
Ashwin Pajankar
245 pages, parution le 01/08/2022
Résumé
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.
What You'll Learn
- Get started with Raspberry Pi and Python
- Understand Image Processing with Pillow
- See how image processing is processed using Numpy and Matplotlib
- Use Pi camera and webcam
Raspberry Pi and IoT enthusiasts, and Python and Open Source professionals
Chapter 2: Introduction to Python and Digital Image ProcessingChapter Goal: Brief acquaintance with the subject of the bookNo of pages:Sub - Topics: 1. History of Python2. Features3. Installation of Python on Raspberry Pi4. IDEs for Python5. Digital Image Processing
Chapter 3: Getting Started with Image ProcessingChapter Goal: Getting to understand the basicsNo of pages:Sub - Topics: 1. Image Sources (Standard Image Datasets)2. Various Cameras for RPi3. Pillow Basics4. Tk Basics5. Reading and displaying images with Pillow and Tk6. Image Properties
Chapter 4: Basic Operations on ImagesChapter Goal: Getting to know PillowNo of pages:Sub - Topics: 1. Image modulea) Image channelsb) Mode Conversionc) Blendingd) Resizinge) Rotationf) Crop and pasteg) Alpha compositionh) Mandelbrot seti) Noise and gradient2. ImageChops module3. ImageOps module
Chapter 5: Advanced Operations on ImagesChapter Goal: Filtering and Enhancements 1. Image filter (will cover more filters in the second edition)2. Image enhancements (will cover additional effects)3. Color quantization4. Histogram and equalization
Chapter 6: Scientific Python
Chapter Goal: Introduction to the Scientific Python1. The SciPy stack2. NumPy, SciPy, and Matplotlib3. Image Processing with NumPy and Matplotlib
Chapter 7: Transformations, Interpolation, and Measurements Chapter Goal: Transformations and Measurements1. Transformations and Interpolationsa) Affine_transformb) Geometric_transformc) Map_coordinatesd) Rotatee) Shiftf) Spline_filterg) Spline_filter1dh) Zoom2. Measurementsa) Center_of_massb) Extremac) Find_objectsd) Histograme) Labelf) Labeled_comprehensiong) Maximumh) Maximum_positioni) Meanj) Mediank) Minimuml) Minimum_positionm) Standard_deviationn) Sum_labelso) Variancep) Watershed_ift
Chapter 8: Filters and their ApplicationChapter Goal: Study Various types of filters1. Kernels, Convolution, Filters 2. Correlation3. Low Pass Filtersa) Blurring Filter (Gaussian, Gaussian 1D, uniform, uniform 1D, percentile, rank)b) Noise Removal (Gaussian, Median, Maximum, Minimum, rank)4. High Pass filtersa) Prewittb) Sobelc) Laplaciand) Gaussian Gradient Magnitudee) Gaussian Laplace5. Fourier Filters
Chapter 9: Morphology, Thresholding, and SegmentationChapter Goal: Study operations1. Morphologya) Distance transformb) Structuring Element (generate_binary_structure)c) Binary Morphological Operationsd) Greyscale Morphological Operations
e) More Morphological Operations2. Thresholding and Segmentation
Chapter 10: pgmagikChapter Goal: Learn pgmagic library in detail1. Installation2. Creating images3. Draw text4. Image filter and transformation5. Bezier curve6. Blob7. Circle8. Animation
Ashwin is currently a freelance online instructor teaching programming and electronics to more than 8200 professionals. He also regularly conducts live programming boot camps for software professionals. His growing Youtube channel has an audience of more than 11000 subscribers. He has published more than 20 books on programming and electronics with many international publications, including Apress and regularly reviews books on programming written by other authors.
Caractéristiques techniques
| PAPIER | |
| Éditeur(s) | Apress |
| Auteur(s) | Ashwin Pajankar |
| Parution | 01/08/2022 |
| Nb. de pages | 245 |
| EAN13 | 9781484282694 |
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