A Beginner's Guide to Multilevel Image Thresholding by Rajinikanth, Venkatesan

Subjects: “…Image segmentation.…”
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Markov random fields for vision and image processing

Table of Contents: “…Continuous-Valued MRF for Image Segmentation /…”
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Fundamentals of digital image processing : a practical approach with examples in Matlab by Solomon, Chris

Table of Contents: “…Representation -- Formation -- Pixels -- Enhancement -- Fourier Transforms and Frequency-Domain Processing -- Image Restoration -- Geometry -- Morphological Processing -- Features -- Image Segmentation -- Classification.…”
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Advances in Pattern Recognition : Proceedings of the Sixth International Conference.

Table of Contents: “…Biometrics; Clustering Algorithms; Document Analysis; Image Registration and Transmission; Image Segmentation; Multimedia Object Retrieval; Pattern Recognition; Shape Recognition; Speech and 1-D Signal Analysis and Texture Analysis.…”
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Image Analysis. by Zhang, Yujin

Table of Contents: “…Introduction to Image Analysis; 2. Image Segmentation; 3. Object Representation and Description; 4. …”
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Fuzzy logic for image processing : a gentle introduction using Java by Caponetti, Laura, Castellano, Giovanna

Table of Contents: “…Color Contrast Enhancement -- 7. Image Segmentation -- 8. Morphological Analysis -- 9. Image Thresholding -- Appendix A. …”
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Rough fuzzy image analysis : foundations and methodologies

Table of Contents: “…Meghdadi and James F. Peters -- 10. Image segmentation : a rough-set theoretic approach / Milind M. …”
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COMPUTER VISION IN MEDICAL IMAGING. by Chen, C. H.

Table of Contents: “…Chapter 2 Distribution Matching Approaches to Medical Image Segmentation Ismail Ben Ayed1. Introduction; 2. Formulations; 3. …”
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Empirical Evaluation Methods in Computer Vision. by Christensen, Henrik I.

Table of Contents: “…Foreword ; Chapter 1 Automated Performance Evaluation of Range Image Segmentation Algorithms ; 1.1. Introduction ; 1.2. …”
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Biomedical image understanding : methods and applications

Table of Contents: “…Overview of biomedical image understanding methods / Wei Xiong, Jierong Cheng, Ying Gu, Shimiao Li and Joo Hwee Lim -- Medical image segmentation and its application in cardiac MRI / Dong Wei, Chao Li and Ying Sun -- Retinal vascular measurements with VAMPIRE / Emanuele Trucco, Andrea Giachetti, Lucia Ballerini, Devanjali Relan, Alessandro Cavinato and Tom MacGillivray -- Analyzing cell and tissue morphologies using pattern recognition algorithms / Hwee Kuan Lee, Yan Nei Law, ChaoHui Huang and Choon Kong Yap -- 3D nonrigid image registration by Parzenwindow based normalized mutual information / Rui Xu, YenWei Chen, Shigehiro Morikawa and Yoshimasa Kurumi -- 2D/3D image registration for endovascular abdominal aortic aneurysm (AAA) repair / Shun Miao and Rui Liao -- Motion tracking in medical images / Chuqing Cao, Chao Li and Ying Sun -- Blood smear analysis and malaria infection detection from blood cell images / Wei Xiong, SimHeng Ong, Joo Hwee Lim, Jierong Cheng and Ying Gu -- Liver tumor segmentation using SVM framework and pathology characterization / Jiayin Zhou, Yanling Chi, Weimin Huang, Wei Xiong, Wenyu Chen, Jimin Liu and Sudhakar K. …”
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Practical image and video processing using MATLAB by Marques, Oge

Table of Contents: “…Introduction and Overview -- Image Processing Basics -- MATLAB Basics -- The Image Processing Toolbox at a Glance -- Image Sensing and Acquisition -- Arithmetic and Logic Operations -- Geometric Operations -- Gray-Level Transformations -- Histogram Processing -- Neighborhood Processing -- Frequency-Domain Filtering -- Image Restoration -- Morphological Image Processing -- Edge Detection -- Image Segmentation -- Color Image Processing -- Image Compression and Coding -- Feature Extraction and Representation -- Visual Pattern Recognition -- Video Processing. …”
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Image processing in radiation therapy

Information discovery on electronic health records

Table of Contents: “….-- Real-Time and Mobile Physiological Data Analysis / Daniele Apiletti, Elena Baralis, Giulia Bruno, Tania Cerquitelli, and Alessandro Fiori.-- Medical Image Segmentation / Xiaolei Huang and Gavriil Tsechpenakis.…”
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Image processing in radiation therapy

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Microscope Image Processing. by Wu, Qiang, 1958-

Table of Contents: “…Front Cover; Microscope Image Processing; Copyright Page; Contents; Foreword; Preface; Acknowledgments; Chapter 1: Introduction; Chapter 2: Fundamentals of Microscopy; Chapter 3: Image Digitization; Chapter 4: Image Display; Chapter 5: Geometric Transformations; Chapter 6: Image Enhancement; Chapter 7: Wavelet Image Processing; Chapter 8: Morphological Image Processing; Chapter 9: Image Segmentation; Chapter 10: Object Measurement; Chapter 11: Object Classification; Chapter 12: Fluorescence Imaging; Chapter 13: Multispectral Imaging; Chapter 14: Three-Dimensional Imaging.…”
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Computational Analysis Of The Human Eye With Applications.

Table of Contents: “…Thresholding for Image Segmentation; 2.3.3.1. Segmentation with a single threshold; 2.3.3.2. …”
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Seismic Data Interpretation using Digital Image Processing by Al-Shuhail, Abdullatif A., Al-Dossary, Saleh A., Mousa, Wail A.

Table of Contents: “…5.10.1 Problem Statement and Preliminaries5.10.2 Review of Fast Noise Variance Estimation Algorithm; 5.10.3 Design Mask by Constrained Optimization; 5.11 The Spectral Decomposition Attribute; 5.12 Summary; 5.13 Problems and Computer Assignments; Chapter 6 Color Display of Seismic Images; 6.1 Introduction; 6.2 Color Models and Useful Color Bars; 6.2.1 The RGB Model; 6.2.2 The CMY Model; 6.2.3 The HSI Model; 6.2.4 Useful Color Bars; 6.3 Overlay and Mixed Displays of Seismic Attribute Images; 6.4 Summary; 6.5 Problems and Computer Assignments; Chapter 7 Seismic Image Segmentation.…”
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Mathematical morphology and its applications to image and signal processing

Table of Contents: “…Geodesic Set Definition in Case of Empty Intersection -- The Morphological-Affine Object Deformation -- Affine Invariant Mathematical Morphology Applied to a Generic Shape Recognition Algorithm -- Filtering -- Folding Induced Self-Dual Filters -- Flexible Linear Openings and Closings -- Some Applications of Aperture Filters -- GA Optimisation of Multidimensional Grey-Scale Soft Morphological Filters with Applications in Archive Film Restoration -- Connectivity and Connected Operators -- New Insight on Digital Topology -- Approximate Connectivity and Mathematical Morphology -- Multiresolution Connectivity: An Axiomatic Approach -- Connected Operators Based on Region-Tree Pruning -- Segmentation -- Image Segmentation Based on the Derivative of the Morphological Profile -- Flooding and Segmentation -- A Morphological Multi-Scale Gradient for Color Image Segmentation -- Automatic Watershed Segmentation of Color Images -- Motion Segmentation using Seeded Region Growing -- A Segmentation Pyramid for the Interactive Segmentation of 3-D Images and Video Sequences -- Partition Lattice Operators for Extraction of Semantic Video Objects -- Texture Analysis -- Morphological Granulometric Deconstruction -- Surface Texture Classification from Morphological Transformations -- Content Dependent Image Sampling using Mathematical Morphology: Application to Mipmapping -- Multiresolution Techniques and Scale-Spaces -- Morphological Pyramids and Wavelets Based on the Quincunx Lattice -- Morphological Scale-Space Operators: An Algebraic Framework -- An Idempotent Scale-Space Approach for Morphological Segmentation -- Algorithms -- Efficient Dilation, Erosion, Opening and Closing Algorithms -- Fast Morphological Attribute Operations using Tarjan's Union-Find Algorithm -- A Change Detector Based on Level Sets -- A General Algorithm for Computing Distance Transforms in Linear Time -- The Ordered Queue and the Optimality of the Watershed Approaches -- Discrete 3D Wave Propagation for Computing Morphological Operations from Surface Patches and Unorganized Points -- Applications -- Two-Stage Lossy/Lossless Compression of Grayscale Document Images -- Boosting OCR Classifier by Optimal Edge Noise Filtering -- Morphological Bank Check Logo Segmentation with Few a Priori Knowledge -- Morphological Pseudo Convex Hull to Correct Handwriting Baseline Skew -- Morphological Segmentation of Text and Figures in Renaissance Books (XVI Century) -- Application of Mathematical Morphology and Markov Random Field Theory to the Automatic Extraction of Linear Features in Airborne Images -- Testing Some Morphological Approaches to Face Localization -- Quantitative Description of Telecommunication Networks by Simulation -- Author Index.…”
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Finite Element Method and Medical Imaging Techniques in Bone Biomechanics by Ben Kahla, Rabeb

Table of Contents: “…Shape and structure; 2.6. Image segmentation; 2.6.1. Simple methods of image segmentation; 2.6.2. …”
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Infrared and Raman Spectroscopic Imaging.

Table of Contents: “…2.2 Hyperspectral Images: The Measurement2.2.1 The Data Set and the Underlying Model; 2.3 Image Preprocessing; 2.3.1 Signal Preprocessing; 2.3.1.1 De-noising; 2.3.1.2 Baseline Correction; 2.3.1.3 Detection and Suppression of Anomalous Pixels or Anomalous Spectral Readings; 2.3.2 Data Pretreatments; 2.3.3 Image Compression; 2.4 Exploratory Image Analysis; 2.4.1 Classical Image Representations: Limitations; 2.4.2 Multivariate Image Analysis (MIA) and Principal Component Analysis (PCA); 2.5 Quantitative Image Information: Multivariate Image Regression (MIR); 2.6 Image Segmentation.…”
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Advanced biomedical image analysis by Haidekker, Mark A., 1963-

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Handbook of image and video processing

Table of Contents: “…Simoncelli -- Statistical methods for image segmentation / Sridhar Lakshmanan -- Multiband techniques for texture classification and segmentation / B.S. …”
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Proceedings of the Singaporean-French IPAL Symposium 2009 : SinFra '09 : 18-20 February 2009, Singapore.

Table of Contents: “…Mondety [and others] -- Comparing image segmentation algorithms for content based image retrieval systems / R. …”
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Genetic and evolutionary computation : medical applications

Table of Contents: “…Evolutionary computation : a brief overview -- A review of medical applications of genetic and evolutionary computation -- Evolutionary deformable models for medical image segmentation / Chris McIntosh and Ghassan Hamarneh -- Feature selection for the classification of microcalcifications in digital mammograms using genetic algorithms, sequential search, and class separability / Santiago E. …”
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Hybrid intelligence for image analysis and understanding

Table of Contents: “…Multilevel image segmentation using modified genetic algorithm (MfGA) based fuzzy C-means / Sourav De, Sunanda Das, Siddhartha Bhattacharyya, Paramartha Dutta -- Character recognition using entropy-based fuzzy C-means clustering / B. …”
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Video object extraction and representation : theory and applications by Lin, I-Jong, 1971-

Table of Contents: “…Design Implications of Human Vision -- 2. Image Segmentation -- 3. Motion Estimation -- 4. Knowledge Representation -- 5. …”
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Twelfth Scandinavian Conference on Artificial Intelligence : SCAI 2013

Table of Contents: “…Trap Escape for Local Search by Backtracking and Conflict ReverseIncorporating Prior Knowledge when Learning Mixtures of Truncated Basis Functions from Data; Expansion of the Variational Garrote to a Multiple Measurement Vectors Model; Classification of Movement Patterns in Skiing; Combining Constraint Types from Public Data in Aerial Image Segmentation; Formalizing Theatrical Performances Using Multi-Agent Organizations; A Hierarchical Model for Continuous Gesture Recognition Using Kinect; Expressive Planning Through Constraints…”
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Hands-On Computer Vision with Julia : Build Complex Applications with Advanced Julia Packages for Image Processing, Neural Networks, and Artificial Intelligence. by Cudihins, Dmitrijs

Table of Contents: “…Image preparation for text recognitionImage dilation; Merging almost-connected objects; Highlighting details; Derived operations; Image opening; Image closing; Top-hat and bottom-hat operation; Adjusting image contrast; Summary; Questions; Chapter 4: Image Segmentation; Technical requirements; Supervised methods; Seeded region growing; Identifying a simple object; Identifying a complex object; Unsupervised methods; The graph-based approach; The fast scanning approach; Helper functions; Summary; Questions; Further reading; Chapter 5: Image Representation; Technical requirements.…”
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OpenCV essentials : acquire, process, and analyze visual content to build full-fledged imaging applications using OpenCV

Table of Contents: “…; Chapter 4: What''s in the Image? Segmentation; Thresholding.…”
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Imagin(e, g) Europe : proceedings of the 29th Symposium of the European Association of Remote Sensing Laboratories, Chania, Greece

Table of Contents: “…Evaluation of Influence of Image Segmentation Parameters and Other Selected Effects on Thematic Accuracy of Object Oriented VHRS Image AnalysisAnalysis of ASTER Multispectral Stereo Imagery to Update DEM and Land Cover Databases for Cyprus Island; A Comparative Study of Satellite and Ground-Based Vineyard Phenology; Study on Synthetic Aperture Radar Potential for Direct Biomass Assessment; Automatic Detection of Archaeological Sites Using a Hybrid Process of Remote Sensing, GIS Techniques and a Shape Detection Algorithm…”
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Medical image processing reconstruction and analysis : concepts and methods by Jan, Jiří

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Image Processing with ImageJ by Mateos Pérez, José Maria

Table of Contents: “…Shared macros -- the ImageJ macro directorySummary; Chapter 5: ImageJ Plugins for Users; ImageJ plugins; Installing a plugin; Some useful plugins; LOCI Bio-Formats; Image segmentation; Auto Threshold and Auto Local threshold; The trainable Weka segmentation; SIOX (Simple Interactive Object Extraction); Clustering; Image registration; Stackreg; 3D volume rendering; Volume Viewer; Other utilities; MosaicJ; FigureJ; Study anonymization; FIJI (Fiji Is Not ImageJ); Summary; Chapter 6: ImageJ Plugins for Developers; A sample plugin; The PlugInFilter interface; Adding a GUI to your plugin.…”
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Building Computer Vision Projects with OpenCV 4 and C++ : Implement Complex Computer Vision Algorithms and Explore Deep Learning and Face Detection. by Millán Escrivá, David

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Iaeng transactions on electrical engineering. Vol. 1, Special issue of the International Multiconference of Engineers and Computer Scientists 2012

Table of Contents: “…Rastgarpour -- Automatic medical image segmentation by integrating KFCM clustering and level set based FTC model / M. …”
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Machine Learning with Swift : Artificial Intelligence for iOS. by Sosnovshchenko, Oleksandr

Table of Contents: “…Choosing a good kReasoning in high-dimensional spaces; KNN pros; KNN cons; Improving our solution; Probabilistic interpretation; More data sources; Smarter time series chunking; Hardware acceleration; Trees to speed up the inference; Utilizing state transitions; Summary; Bibliography; Chapter 4: K-Means Clustering; Unsupervised learning; K-means clustering; Implementing k-means in Swift; Update step; Assignment step; Clustering objects on a map; Choosing the number of clusters; K-means clustering â#x80;#x93; problems; K-means++; Image segmentation using k-means; Summary.…”
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Learning OpenCV 3 computer vision with Python : unleash the power of computer vision with Python using OpenCV by Minichino, Joe, Howse, Joseph

Table of Contents: “…Contours -- convex contours and the Douglas-Peucker algorithmLine and circle detection; Line detection; Circle detection; Detecting shapes; Summary; Chapter 4: Depth Estimation and Segmentation; Creating modules; Capturing frames from a depth camera; Creating a mask from a disparity map; Masking a copy operation; Depth estimation with a normal camera; Object segmentation using the Watershed and GrabCut algorithms; Example of foreground detection with GrabCut; Image segmentation with the Watershed algorithm; Summary; Chapter 5: Detecting and Recognizing Faces; Conceptualizing Haar cascades.…”
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Graph Partitioning. by Bichot, Charles-Edmond

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OpenCV 3.x with Python By Example : Make the most of OpenCV and Python to build applications for object recognition and augmented reality. by Joshi, Prateek

Table of Contents: “…; Summary; Chapter 7: Detecting Shapes and Segmenting an Image; Contour analysis and shape matching; Approximating a contour; Identifying a pizza with a slice taken out; How to censor a shape?; What is image segmentation?; How does it work?; Watershed algorithm; Summary; Chapter 8: Object Tracking; Frame differencing; Colorspace based tracking; Building an interactive object tracker; Feature-based tracking; Background subtraction; Summary.…”
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Deep Learning for Computer Vision : Expert techniques to train advanced neural networks using TensorFlow and Keras. by Shanmugamani, rajalingappaa

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High performance computing for intelligent medical systems

Table of Contents: “…Recent trends in medical image segmentation with special focus on brain tumours and retinal images / Mithlesh Prasad Singh, Aheibam Dinamani Singh, Rajesh Kumar, Kishorjit Nongmeikapam and Wahengbam Kanan Kumar -- 13. …”
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