Digital image processing, an integral part of microscopy, is increasingly important to the fields of medicine and scientific research. This book provides a unique one-stop reference on the theory, technique, and applications of this technology.Written by leading experts in the field, this book presents a unique practical perspective of state-of-the-art microscope image processing and the development of specialized algorithms. It contains in-depth analysis of methods coupled with the results of specific real-world experiments. Microscope Image Processing covers image digitization and display, object measurement and classification, autofocusing, and structured illumination.Key Features:- Detailed descriptions of many leading-edge methods and algorithms- In-depth analysis of the method and experimental results, taken from real-life examples- Emphasis on computational and algorithmic aspects of microscope image processing- Advanced material on geometric, morphological, and wavelet image processing, fluorescence, three-dimensional and time-lapse microscopy, microscope image enhancement, MultiSpectral imaging, and image data management This book is of interest to all scientists, engineers, clinicians, post-graduate fellows, and graduate students working in the fields of biology, medicine, chemistry, pharmacology, and other related fields. Anyone who uses microscopes in their work and needs to understand the methodologies and capabilities of the latest digital image processing techniques will find this book invaluable.- Presents a unique practical perspective of state-of-the-art microcope image processing and the development of specialized algorithms- Each chapter includes in-depth analysis of methods coupled with the results of specific real-world experiments- Co-edited by Kenneth R. Castleman, world-renowned pioneer in digital image processing and author of two seminal textbooks on the subject

Digital image processing, an integral part of microscopy, is increasingly important to the fields of medicine and scientific research. This book provides a unique one-stop reference on the theory, technique, and applications of this technology.

Written by leading experts in the field, this book presents a unique practical perspective of state-of-the-art microscope image processing and the development of specialized algorithms. It contains in-depth analysis of methods coupled with the results of specific real-world experiments. Microscope Image Processing covers image digitization and display, object measurement and classification, autofocusing, and structured illumination.

Key Features:

Detailed descriptions of many leading-edge methods and algorithms In-depth analysis of the method and experimental results, taken from real-life examples Emphasis on computational and algorithmic aspects of microscope image processing Advanced material on geometric, morphological, and wavelet image processing, fluorescence, three-dimensional and time-lapse microscopy, microscope image enhancement, MultiSpectral imaging, and image data management

This book is of interest to all scientists, engineers, clinicians, post-graduate fellows, and graduate students working in the fields of biology, medicine, chemistry, pharmacology, and other related fields. Anyone who uses microscopes in their work and needs to understand the methodologies and capabilities of the latest digital image processing techniques will find this book invaluable.

Presents a unique practical perspective of state-of-the-art microcope image processing and the development of specialized algorithms Each chapter includes in-depth analysis of methods coupled with the results of specific real-world experiments Co-edited by Kenneth R. Castleman, world-renowned pioneer in digital image processing and author of two seminal textbooks on the subject

This book targets to earth scientists and engineers, in particular students, researchers, managers, and practitioners, who are interested in mining engineering, environmental engineering, green coal mining, sustainable water resource management, and effective measures to balance mine safety and ecological conservation.In the disciplines of mine hydrogeology and mining engineering, there have always been difficulties in the theoretical interpretation of the changes in the physical and hydraulic characteristics of water resisting strata during coal seam mining. In the past 10 years, the authors studied the relevant contents by using the methods of physical simulation, numerical simulation, field test and mining practice of similar materials, so as to understand the internal relationship between the stratigraphic sedimentary characteristics of the mining area and the occurrence mechanism of mine water disaster. On the premise of analyzing and studying the stratigraphic sedimentary environment in the mining area in detail, it is of great significance for the realization of "coal water" dual resource mining in the mining area to divide the types of roof water disaster in the mining area and study the formation mechanism of mine water disaster caused by different rock formation combinations and mining methods.

This book targets to earth scientists and engineers, in particular students, researchers, managers, and practitioners, who are interested in mining engineering, environmental engineering, green coal mining, sustainable water resource management, and effective measures to balance mine safety and ecological conservation.

In the disciplines of mine hydrogeology and mining engineering, there have always been difficulties in the theoretical interpretation of the changes in the physical and hydraulic characteristics of water resisting strata during coal seam mining. In the past 10 years, the authors studied the relevant contents by using the methods of physical simulation, numerical simulation, field test and mining practice of similar materials, so as to understand the internal relationship between the stratigraphic sedimentary characteristics of the mining area and the occurrence mechanism of mine water disaster. On the premise of analyzing and studying the stratigraphic sedimentary environment in the mining area in detail, it is of great significance for the realization of "coal water" dual resource mining in the mining area to divide the types of roof water disaster in the mining area and study the formation mechanism of mine water disaster caused by different rock formation combinations and mining methods.

This book targets to earth scientists and engineers, in particular students, researchers, managers, and practitioners, who are interested in mining engineering, environmental engineering, green coal mining, sustainable water resource management, and effective measures to balance mine safety and ecological conservation.In the disciplines of mine hydrogeology and mining engineering, there have always been difficulties in the theoretical interpretation of the changes in the physical and hydraulic characteristics of water resisting strata during coal seam mining. In the past 10 years, the authors studied the relevant contents by using the methods of physical simulation, numerical simulation, field test and mining practice of similar materials, so as to understand the internal relationship between the stratigraphic sedimentary characteristics of the mining area and the occurrence mechanism of mine water disaster. On the premise of analyzing and studying the stratigraphic sedimentary environment in the mining area in detail, it is of great significance for the realization of "coal water" dual resource mining in the mining area to divide the types of roof water disaster in the mining area and study the formation mechanism of mine water disaster caused by different rock formation combinations and mining methods.

This book constitutes the refereed post-conference proceedings of the 14th International Conference on Nature of Computing and Pattern Recognition, ICCPR 2025, held in Beijing, China, during October 24–26, 2025The 81 full papers presented in this volume were carefully reviewed and selected from 205 submissions. The papers are organized in the following topical sections:Pattern Recognition; Image Models and Image Reconstruction; Image Enhancement and Image Segmentation; Intelligent Detection Models and Algorithms; Image-Based System Anomaly Detection Technology and Engineering Applications; Key Technologies of Computer Vision and Image Processing Based on Multimodal Fusion.

This book constitutes the refereed post-conference proceedings of the 14th International Conference on Nature of Computing and Pattern Recognition, ICCPR 2025, held in Beijing, China, during October 24–26, 2025The 81 full papers presented in this volume were carefully reviewed and selected from 205 submissions. The papers are organized in the following topical sections:Pattern Recognition; Image Models and Image Reconstruction; Image Enhancement and Image Segmentation; Intelligent Detection Models and Algorithms; Image-Based System Anomaly Detection Technology and Engineering Applications; Key Technologies of Computer Vision and Image Processing Based on Multimodal Fusion.

This book constitutes the refereed post-conference proceedings of the 14th International Conference on Nature of Computing and Pattern Recognition, ICCPR 2025, held in Beijing, China, during October 24–26, 2025The 81 full papers presented in this volume were carefully reviewed and selected from 205 submissions. The papers are organized in the following topical sections:Pattern Recognition; Image Models and Image Reconstruction; Image Enhancement and Image Segmentation; Intelligent Detection Models and Algorithms; Image-Based System Anomaly Detection Technology and Engineering Applications; Key Technologies of Computer Vision and Image Processing Based on Multimodal Fusion.

Digital image processing, an integral part of microscopy, is increasingly important to the fields of medicine and scientific research. This book provides a unique one-stop reference on the theory, technique, and applications of this technology.Written by leading experts in the field, this book presents a unique practical perspective of state-of-the-art microscope image processing and the development of specialized algorithms. It contains in-depth analysis of methods coupled with the results of specific real-world experiments. Microscope Image Processing covers image digitization and display, object measurement and classification, autofocusing, and structured illumination.Key Features:- Detailed descriptions of many leading-edge methods and algorithms- In-depth analysis of the method and experimental results, taken from real-life examples- Emphasis on computational and algorithmic aspects of microscope image processing- Advanced material on geometric, morphological, and wavelet image processing, fluorescence, three-dimensional and time-lapse microscopy, microscope image enhancement, MultiSpectral imaging, and image data management This book is of interest to all scientists, engineers, clinicians, post-graduate fellows, and graduate students working in the fields of biology, medicine, chemistry, pharmacology, and other related fields. Anyone who uses microscopes in their work and needs to understand the methodologies and capabilities of the latest digital image processing techniques will find this book invaluable.- Presents a unique practical perspective of state-of-the-art microcope image processing and the development of specialized algorithms- Each chapter includes in-depth analysis of methods coupled with the results of specific real-world experiments- Co-edited by Kenneth R. Castleman, world-renowned pioneer in digital image processing and author of two seminal textbooks on the subject

Digital image processing, an integral part of microscopy, is increasingly important to the fields of medicine and scientific research. This book provides a unique one-stop reference on the theory, technique, and applications of this technology.

Written by leading experts in the field, this book presents a unique practical perspective of state-of-the-art microscope image processing and the development of specialized algorithms. It contains in-depth analysis of methods coupled with the results of specific real-world experiments. Microscope Image Processing covers image digitization and display, object measurement and classification, autofocusing, and structured illumination.

Key Features:

Detailed descriptions of many leading-edge methods and algorithms In-depth analysis of the method and experimental results, taken from real-life examples Emphasis on computational and algorithmic aspects of microscope image processing Advanced material on geometric, morphological, and wavelet image processing, fluorescence, three-dimensional and time-lapse microscopy, microscope image enhancement, MultiSpectral imaging, and image data management

This book is of interest to all scientists, engineers, clinicians, post-graduate fellows, and graduate students working in the fields of biology, medicine, chemistry, pharmacology, and other related fields. Anyone who uses microscopes in their work and needs to understand the methodologies and capabilities of the latest digital image processing techniques will find this book invaluable.

Presents a unique practical perspective of state-of-the-art microcope image processing and the development of specialized algorithms Each chapter includes in-depth analysis of methods coupled with the results of specific real-world experiments Co-edited by Kenneth R. Castleman, world-renowned pioneer in digital image processing and author of two seminal textbooks on the subject

This book targets to earth scientists and engineers, in particular students, researchers, managers, and practitioners, who are interested in mining engineering, environmental engineering, green coal mining, sustainable water resource management, and effective measures to balance mine safety and ecological conservation.In the disciplines of mine hydrogeology and mining engineering, there have always been difficulties in the theoretical interpretation of the changes in the physical and hydraulic characteristics of water resisting strata during coal seam mining. In the past 10 years, the authors studied the relevant contents by using the methods of physical simulation, numerical simulation, field test and mining practice of similar materials, so as to understand the internal relationship between the stratigraphic sedimentary characteristics of the mining area and the occurrence mechanism of mine water disaster. On the premise of analyzing and studying the stratigraphic sedimentary environment in the mining area in detail, it is of great significance for the realization of "coal water" dual resource mining in the mining area to divide the types of roof water disaster in the mining area and study the formation mechanism of mine water disaster caused by different rock formation combinations and mining methods.

This book targets to earth scientists and engineers, in particular students, researchers, managers, and practitioners, who are interested in mining engineering, environmental engineering, green coal mining, sustainable water resource management, and effective measures to balance mine safety and ecological conservation.

In the disciplines of mine hydrogeology and mining engineering, there have always been difficulties in the theoretical interpretation of the changes in the physical and hydraulic characteristics of water resisting strata during coal seam mining. In the past 10 years, the authors studied the relevant contents by using the methods of physical simulation, numerical simulation, field test and mining practice of similar materials, so as to understand the internal relationship between the stratigraphic sedimentary characteristics of the mining area and the occurrence mechanism of mine water disaster. On the premise of analyzing and studying the stratigraphic sedimentary environment in the mining area in detail, it is of great significance for the realization of "coal water" dual resource mining in the mining area to divide the types of roof water disaster in the mining area and study the formation mechanism of mine water disaster caused by different rock formation combinations and mining methods.

This book targets to earth scientists and engineers, in particular students, researchers, managers, and practitioners, who are interested in mining engineering, environmental engineering, green coal mining, sustainable water resource management, and effective measures to balance mine safety and ecological conservation.In the disciplines of mine hydrogeology and mining engineering, there have always been difficulties in the theoretical interpretation of the changes in the physical and hydraulic characteristics of water resisting strata during coal seam mining. In the past 10 years, the authors studied the relevant contents by using the methods of physical simulation, numerical simulation, field test and mining practice of similar materials, so as to understand the internal relationship between the stratigraphic sedimentary characteristics of the mining area and the occurrence mechanism of mine water disaster. On the premise of analyzing and studying the stratigraphic sedimentary environment in the mining area in detail, it is of great significance for the realization of "coal water" dual resource mining in the mining area to divide the types of roof water disaster in the mining area and study the formation mechanism of mine water disaster caused by different rock formation combinations and mining methods.

This book constitutes the refereed post-conference proceedings of the 14th International Conference on Nature of Computing and Pattern Recognition, ICCPR 2025, held in Beijing, China, during October 24–26, 2025The 81 full papers presented in this volume were carefully reviewed and selected from 205 submissions. The papers are organized in the following topical sections:Pattern Recognition; Image Models and Image Reconstruction; Image Enhancement and Image Segmentation; Intelligent Detection Models and Algorithms; Image-Based System Anomaly Detection Technology and Engineering Applications; Key Technologies of Computer Vision and Image Processing Based on Multimodal Fusion.

This book constitutes the refereed post-conference proceedings of the 14th International Conference on Nature of Computing and Pattern Recognition, ICCPR 2025, held in Beijing, China, during October 24–26, 2025The 81 full papers presented in this volume were carefully reviewed and selected from 205 submissions. The papers are organized in the following topical sections:Pattern Recognition; Image Models and Image Reconstruction; Image Enhancement and Image Segmentation; Intelligent Detection Models and Algorithms; Image-Based System Anomaly Detection Technology and Engineering Applications; Key Technologies of Computer Vision and Image Processing Based on Multimodal Fusion.

This book constitutes the refereed post-conference proceedings of the 14th International Conference on Nature of Computing and Pattern Recognition, ICCPR 2025, held in Beijing, China, during October 24–26, 2025The 81 full papers presented in this volume were carefully reviewed and selected from 205 submissions. The papers are organized in the following topical sections:Pattern Recognition; Image Models and Image Reconstruction; Image Enhancement and Image Segmentation; Intelligent Detection Models and Algorithms; Image-Based System Anomaly Detection Technology and Engineering Applications; Key Technologies of Computer Vision and Image Processing Based on Multimodal Fusion.