With Hands-On Image Processing with Python, includes topics such as pseudo-coloring, noise smoothing, computing image descriptors. Covers popular machine learning and deep learning techniques for complex image processing tasks. (Limited-time offer)
Table of Contents
- Getting Started with Image Processing
- Sampling, Fourier Transform, and Convolution
- Convolution and Frequency Domain Filtering
- Image Enhancement
- Image Enhancement Using Derivatives
- Morphological Image Processing
- Extracting Image Features and Descriptors
- Image Segmentation
- Classical Machine Learning Methods in Image Processing
- Deep Learning in Image Processing – Image Classification
- Deep Learning in Image Processing – Object Detection, and more
- Additional Problems in Image Processing
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Author(s): Sandipan Dey
Publisher: Packt Publishing
Published: November 2018
Format(s): Online
File size: –
Number of pages: 492
Download / View Link(s): This offer has ended.
Free as of07/29/2019 06/16/2020 05/10/2021.
Publisher: Packt Publishing
Published: November 2018
Format(s): Online
File size: –
Number of pages: 492
Download / View Link(s): This offer has ended.
Free as of