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Hands-On Image Processing with Python

coverage of every image processing task with popular Python libraries Includes topics such as pseudo-coloring, noise smoothing, computing image;

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Raspberry Pi Image Processing Programming

. This second edition begins with the installation of Raspberry Pi OS on the latest model of Raspberry Pi and then introduces Python programming;

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Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi

with Python Scikit-Learn library is explained to audience with an emphasis on supervised learning and classification. Image processing on IoT;

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Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi

with Python Scikit-Learn library is explained to audience with an emphasis on supervised learning and classification. Image processing on IoT;

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Image Processing and Acquisition Using Python

in Python programming and image processing, with solutions to selected problems, example programs, and images available on the book's web page;

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Image Processing and Acquisition Using Python

Image Processing and Acquisition using Python provides readers with a sound foundation in both image acquisition and image processing-one;

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Python Image Processing Cookbook

learning. As you advance, you'll get to grips with face morphing and image segmentation techniques. With an emphasis on practical solutions, this;

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OpenCV 4 with Python Blueprints

, machine learning, and image processing. It is increasingly being adopted in Python for development. This book will get you hands-on with a wide;

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Practical Machine Learning and Image Processing

with the environment setup, understanding basic image-processing terminology, and exploring Python concepts that will be useful for;

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Practical Machine Learning and Image Processing

with the environment setup, understanding basic image-processing terminology, and exploring Python concepts that will be useful for;

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Raspberry Pi Computer Vision Programming

restoration to build real-life computer vision applications Key Features Explore the potential of computer vision with Raspberry Pi and Python;

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Learn from Scratch Signal and Image Processing with Python GUI

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Python for Data Science: A Hands-On Introduction

to the Pythonic world of data analysis with a learn-by-doing approach rooted in practical examples and hands-on activities. You'll learn how;

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A Computational Introduction to Digital Image Processing

imaging techniques in MATLAB, GNU Octave, and Python. It includes numerous examples and exercises to give students hands-on practice with the;

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A Computational Introduction to Digital Image Processing

. Along with MATLAB (R), this edition now includes GNU Octave and Python. Users can choose the best software to fit their needs or migrate from;

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Image Processing using Pulse-Coupled Neural Networks

Image processing algorithms based on the mammalian visual cortex are powerful tools for extraction information and manipulating images;

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Learning OpenCV 4 Computer Vision with Python 3

understanding OpenCV 4 and how to set it up with Python 3 on various platforms. Next, you'll learn how to perform basic operations such as reading;

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Digital Image Processing

is supplemented with examples from applications on PC-based image processing systems and ready-to-use implementations of important algorithms. The CD-ROM;

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Feature Extraction and Image Processing for Computer Vision

computer vision techniques, with tutorial introductions and sample code in MATLAB and Python. Algorithms are presented and fully explained to;

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Natural Language Processing and Computational Linguistics

Hands-on text analysis with Python, featuring natural language processing and computational linguistics algorithms Learn deep learning;

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OpenCV with Python Blueprints

Design and develop advanced computer vision projects using OpenCV with Python About This Book * Program advanced computer vision;

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Computing Colour Image Processing

This book proposes a new approach to colour in digital images, based on the standard sRGB colour space and Python scripting. It covers;

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OpenCV with Python By Example

is intended for Python developers who are new to OpenCV and want to develop computer vision applications with OpenCV-Python. This book is also useful;

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A Concise Introduction to Programming in Python

in Python, with no prior programming experience required. The Second Edition was thoroughly reorganized and rewritten based on classroom;

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A Concise Introduction to Programming in Python

in Python, with no prior programming experience required. The Second Edition was thoroughly reorganized and rewritten based on classroom;

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Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA

power of GPU Key Features Explore examples to leverage the GPU processing power with OpenCV and CUDA Enhance the performance of algorithms on;

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Python Data Analytics

computing with NumPy, visualization with matplotlib, and machine learning with scikit-learn. This revision is fully updated with new content on;

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