Hands-On Image Processing with Python

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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