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Image Processing with ImageJ -

Extract and analyze data from complex images with ImageJ, the world's leading image processing tool About This Book * Design;

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Image Processing with ImageJ

The book will help readers discover the various facilities of ImageJ through a tutorial-based approach. This book is targeted at scientists;

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Digital Image Processing

the image processing environment ImageJ, freely distributed by the National Institute of Health. A comprehensive website supports the book;

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A Practical Approach to Medical Image Processing

program ImageJ, on all of the skills needed to perform filtering and image enhancement techniques used in structured image discrimination;

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A Practical Approach to Medical Image Processing

program ImageJ, on all of the skills needed to perform filtering and image enhancement techniques used in structured image discrimination;

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Digital Image Processing For Medical Applications

activities show how these operations affect real images. All images, links to the public-domain software ImageJ and custom plug-ins, and selected;

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Applied Medical Image Processing

key principles by implementing algorithms from scratch and using simple MATLAB (R)/Octave scripts with image data and illustrations on;

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Bioimage Data Analysis Workflows

readers with the most commonly used image processing and analysis platforms such as ImageJ, MatLab and Python. Besides gaining knowhow on;

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Digital Image Processing

, supporting a detailed presentation of the fundamental concepts and techniques with practical exercises and fully worked out implementation examples;

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Raspberry Pi Image Processing Programming

Understand the concepts of image processing with Python 3 and create applications using Raspberry Pi 4. This book covers image processing;

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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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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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Python Image Processing Cookbook

increasing demand for people with digital image processing skills in order to extract useful information from the ever-growing volume of images. This;

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Digital Signal and Image Processing

provides integrated and authoritative coverage of all three areas with a thorough grounding in fundamental concepts. The focus throughout is on;

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Adaptive Image Processing

) methods and algorithms for adaptive image processing in regularization, edge detection, and early vision. With three new chapters and updated;

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Fundamentals of Digital Image Processing

Presents a thorough overview of the major topics of digital image processing, beginning with the basic mathematical tools needed for;

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The Art of Image Processing with Java

While most other image processing texts approach this subject from an engineering perspective, The Art of Image Processing with Java places;

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A Concise Introduction to Image Processing using C++

Image recognition has become an increasingly dynamic field with new and emerging civil and military applications in security, exploration;

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Parallel Image Analysis

This volume deals with the following topics: 2-D, 3-D automata and grammars, parallel architecture for image processing, parallel digital;

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Introduction to Digital Image Processing

in mathematical background earlier in their college education. With that in mind, Introduction to Digital Image Processing is simpler in terms;

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Digital Image Processing: A Signal Processing and Algorithmic Approach

with a large number of 4 x 4 and 8 x 8 examples, figures and detailed explanations. Each concept is developed from the basic principles and;

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Hybrid Image Processing Methods for Medical Image Examination

In view of better results expected from examination of medical datasets (images) with hybrid (integration of thresholding and segmentation;

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The Image Processing Handbook

Presents 500+ entirely new figures and images, with more than two-thirds appearing in color The Image Processing Handbook, Seventh Edition;

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The Image Processing Handbook

Presents 500+ entirely new figures and images, with more than two-thirds appearing in color The Image Processing Handbook, Seventh Edition;

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Handbook of Image and Video Processing

novice and the seasoned practitioner with the necessary information and skills to be able to develop algorithms and applications for multimedia;

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Digital Image Processing

with a large number of 4 x 4 and 8 x 8 examples, figures and detailed explanations. Each concept is developed from the basic principles and;

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