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- Hands-On Image Processing with Python. Expert techniques for advanced image analysis and effective interpretation of image data
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Hands-On Image Processing with Python. Expert techniques for advanced image analysis and effective interpretation of image data
Ebook
Image processing plays an important role in our daily lives with various applications such as in social media (face detection), medical imaging (X-ray, CT-scan), security (fingerprint recognition) to robotics & space. This book will touch the core of image processing, from concepts to code using Python.
The book will start from the classical image processing techniques and explore the evolution of image processing algorithms up to the recent advances in image processing or computer vision with deep learning. We will learn how to use image processing libraries such as PIL, scikit-mage, and scipy ndimage in Python. This book will enable us to write code snippets in Python 3 and quickly implement complex image processing algorithms such as image enhancement, filtering, segmentation, object detection, and classification. We will be able to use machine learning models using the scikit-learn library and later explore deep CNN, such as VGG-19 with Keras, and we will also use an end-to-end deep learning model called YOLO for object detection. We will also cover a few advanced problems, such as image inpainting, gradient blending, variational denoising, seam carving, quilting, and morphing.
By the end of this book, we will have learned to implement various algorithms for efficient image processing.
The book will start from the classical image processing techniques and explore the evolution of image processing algorithms up to the recent advances in image processing or computer vision with deep learning. We will learn how to use image processing libraries such as PIL, scikit-mage, and scipy ndimage in Python. This book will enable us to write code snippets in Python 3 and quickly implement complex image processing algorithms such as image enhancement, filtering, segmentation, object detection, and classification. We will be able to use machine learning models using the scikit-learn library and later explore deep CNN, such as VGG-19 with Keras, and we will also use an end-to-end deep learning model called YOLO for object detection. We will also cover a few advanced problems, such as image inpainting, gradient blending, variational denoising, seam carving, quilting, and morphing.
By the end of this book, we will have learned to implement various algorithms for efficient image processing.
- 1. Getting started with Image Processing
- 2. Sampling Fourier Transform
- 3. Convolution and Frequency domain Filtering
- 4. Image Enhancement
- 5. Image Enhancement using Derivatives
- 6. Morphological Image Processing
- 7. Extracting Image Features and Descriptors
- 8. Image Segmentation
- 9. Classical Machine Learning Methods
- 10. Learning in Image Processing - Image Classification with CNN
- 11. Object Detection, Deep Segmentation and Transfer Learning
- 12. Additional Problems in Image Processing
- Title: Hands-On Image Processing with Python. Expert techniques for advanced image analysis and effective interpretation of image data
- Author: Sandipan Dey
- Original title: Hands-On Image Processing with Python. Expert techniques for advanced image analysis and effective interpretation of image data
- ISBN: 9781789341850, 9781789341850
- Date of issue: 2018-11-30
- Format: Ebook
- Item ID: e_15dd
- Publisher: Packt Publishing