Automatic Image Segmentation And Analysis With Applications To Diatom Identification

Author : Hans Du Buf
Publisher : World Scientific
Page : 336 pages
File Size : 46,8 Mb
Release : 2002
Category : Science
ISBN : 9810248865

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Automatic Diatom Identification by Hans Du Buf Pdf

This is the first book to deal with automatic diatom identification. It provides the necessary background information concerning diatom research, useful for both diatomists and non-diatomists. It deals with the development of electronic databases, image preprocessing, automatic contour extraction, the application of existing contour and ornamentation features and the development of new ones, as well as the application of different classifiers (neural networks, decision trees, etc.). These are tested using two image sets: (i) a very difficult set of Sellaphora pupula with 6 demes and 120 images; (ii) a mixed genera set with 37 taxa and approximately 800 images. The results are excellent, and recognition rates well above 90% have been achieved on both sets. The results are compared with identification rates obtained by human experts. One chapter of the book deals with automatic image capture, i.e. microscope slide scanning at different resolutions using a motorized microscope stage, autofocusing, multifocus fusion, and particle screening to select only diatoms and to reject debris. This book is the final scientific report of the European ADIAC project (Automatic Diatom Identification and Classification), and it lists the web-sites with the created public databases and an identification demo.

Author : Gabriel Cristóbal,Saúl Blanco,Gloria Bueno
Publisher : Springer Nature
Page : 294 pages
File Size : 55,7 Mb
Release : 2020-05-28
Category : Science
ISBN : 9783030392123

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Modern Trends in Diatom Identification by Gabriel Cristóbal,Saúl Blanco,Gloria Bueno Pdf

High-resolution images of phytoplankton cells such as diatoms or desmids, which are useful for monitoring water quality, can now be provided by digital microscopes, facilitating the automated analysis and identification of specimens. Conventional approaches are based on optical microscopy; however, manual image analysis is impractical due to the huge diversity of this group of microalgae and its great morphological plasticity. As such, there is a need for automated recognition techniques for diagnostic tools (e.g. environmental monitoring networks, early warning systems) to improve the management of water resources and decision-making processes. Describing the entire workflow of a bioindicator system, from capture, analysis and identification to the determination of quality indices, this book provides insights into the current state-of-the-art in automatic identification systems in microscopy.

Author : Ruben Vera-Rodriguez,Julian Fierrez,Aythami Morales
Publisher : Springer
Page : 1001 pages
File Size : 48,7 Mb
Release : 2019-03-02
Category : Computers
ISBN : 9783030134693

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Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications by Ruben Vera-Rodriguez,Julian Fierrez,Aythami Morales Pdf

This book constitutes the refereed post-conference proceedings of the 23rd Iberoamerican Congress on Pattern Recognition, CIARP 2018, held in Madrid, Spain, in November 2018 The 112 papers presented were carefully reviewed and selected from 187 submissions The program was comprised of 6 oral sessions on the following topics: machine learning, computer vision, classification, biometrics and medical applications, and brain signals, and also on: text and character analysis, human interaction, and sentiment analysis

Author : Hans du Buf,Micha M Bayer
Publisher : World Scientific
Page : 328 pages
File Size : 52,6 Mb
Release : 2002-07-12
Category : Psychology
ISBN : 9789814489218

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Automatic Diatom Identification by Hans du Buf,Micha M Bayer Pdf

This is the first book to deal with automatic diatom identification. It provides the necessary background information concerning diatom research, useful for both diatomists and non-diatomists. It deals with the development of electronic databases, image preprocessing, automatic contour extraction, the application of existing contour and ornamentation features and the development of new ones, as well as the application of different classifiers (neural networks, decision trees, etc.). These are tested using two image sets: (i) a very difficult set of Sellaphora pupula with 6 demes and 120 images; (ii) a mixed genera set with 37 taxa and approximately 800 images. The results are excellent, and recognition rates well above 90% have been achieved on both sets. The results are compared with identification rates obtained by human experts. One chapter of the book deals with automatic image capture, i.e. microscope slide scanning at different resolutions using a motorized microscope stage, autofocusing, multifocus fusion, and particle screening to select only diatoms and to reject debris. This book is the final scientific report of the European ADIAC project (Automatic Diatom Identification and Classification), and it lists the web-sites with the created public databases and an identification demo. Contents: Introduction to ADIAC and This Book (H Du Buf & M M Bayer)Diatoms: Organism and Image (D G Mann)Diatom Applications (R J Telford et al.)ADIAC Imaging Techniques and Databases (M M Bayer & S Juggins)Human Error and Quality Assurance in Diatom Analysis (M G Kelly et al.)Contour Extraction (S Fischer et al.)Identification Using Classical and New Features in Combination with Decision Tree Ensembles (S Fischer & H Bunke)Identification by Curvature of Convex and Concave Segments (R E Loke & H du Buf)Identification by Contour Profiling and Legendre Polynomials (A Ciobanu & H du Buf)Identification by Gabor Features (L M Santos & H du Buf)Identification by Mathematical Morphology (M H F Wilkinson et al.)Mixed-Method Identifications (M A Westenberg & J B T M Roerdink)Automatic Slide Scanning (J L Pech-Pacheco & G Cristóbal)ADIAC Achievements and Future Work (H du Buf & M M Bayer) Readership: Researchers in pattern recognition and computer vision, researchers working with diatoms, and psychologists. Keywords:

Author : Jairo E. Serrano C.,Juan Carlos Martínez-Santos
Publisher : Springer
Page : 514 pages
File Size : 44,6 Mb
Release : 2018-09-17
Category : Computers
ISBN : 9783319989983

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Advances in Computing by Jairo E. Serrano C.,Juan Carlos Martínez-Santos Pdf

This book constitutes the refereed proceedings of the 13th Colombian Conference on Computing, CCC 2018, held in Cartagena, Colombia, in September 2018. The 46 revised full papers presented were carefully reviewed and selected from 194 submissions. The papers deal with the following topics: information and knowledge management, software engineering and IT architectures, educational informatics, intelligent systems and robotics, human-computer interaction, distributed systems and large-scale architectures, image processing, computer vision and multimedia, security of the information, formal methods, computational logic, and theory of computation.

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 1552 pages
File Size : 54,5 Mb
Release : 2013-05-31
Category : Computers
ISBN : 9781466639959

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Image Processing: Concepts, Methodologies, Tools, and Applications by Management Association, Information Resources Pdf

Advancements in digital technology continue to expand the image science field through the tools and techniques utilized to process two-dimensional images and videos. Image Processing: Concepts, Methodologies, Tools, and Applications presents a collection of research on this multidisciplinary field and the operation of multi-dimensional signals with systems that range from simple digital circuits to computers. This reference source is essential for researchers, academics, and students in the computer science, computer vision, and electrical engineering fields.

Author : Janice L. Pappas
Publisher : John Wiley & Sons
Page : 587 pages
File Size : 54,8 Mb
Release : 2023-08-09
Category : Science
ISBN : 9781119750659

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Mathematical Macroevolution in Diatom Research by Janice L. Pappas Pdf

MATHEMATICAL MACROEVOLUTION IN DIATOM RESEARCH Buy this book to learn how to use mathematics in macroevolution research and apply mathematics to study complex biological problems. This book contains recent research in mathematical and analytical studies on diatoms. These studies reflect the complex and intricate nature of the problems being analyzed and the need to use mathematics as an aid in finding solutions. Diatoms are important components of marine food webs, the silica and carbon cycles, primary productivity, and carbon sequestration. Their uniqueness as glass-encased unicells and their presence throughout geologic history exemplifies the need to better understand such organisms. Explicating the role of diatoms in the biological world is no more urgent than their role as environmental and climate indicators, and as such, is aided by the mathematical studies in this book. The volume contains twelve original research papers as chapters. Macroevolutionary science topics covered are morphological analysis, morphospace analysis, adaptation, food web dynamics, origination-extinction and diversity, biogeography, life cycle dynamics, complexity, symmetry, and evolvability. Mathematics used in the chapters include stochastic and delay differential and partial differential equations, differential geometry, probability theory, ergodic theory, group theory, knot theory, statistical distributions, chaos theory, and combinatorics. Applied sciences used in the chapters include networks, machine learning, robotics, computer vision, image processing, pattern recognition, and dynamical systems. The volume covers a diverse range of mathematical treatments of topics in diatom research. Audience Diatom researchers, mathematical biologists, evolutionary and macroevolutionary biologists, paleontologists, paleobiologists, theoretical biologists, as well as researchers in applied mathematics, algorithm sciences, complex systems science, computational sciences, informatics, computer vision and image processing sciences, nanoscience, the biofuels industry, and applied engineering.

Author : Laurent Najman,Hugues Talbot
Publisher : John Wiley & Sons
Page : 407 pages
File Size : 54,7 Mb
Release : 2013-01-24
Category : Technology & Engineering
ISBN : 9781118600856

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Mathematical Morphology by Laurent Najman,Hugues Talbot Pdf

Mathematical Morphology allows for the analysis and processing of geometrical structures using techniques based on the fields of set theory, lattice theory, topology, and random functions. It is the basis of morphological image processing, and finds applications in fields including digital image processing (DSP), as well as areas for graphs, surface meshes, solids, and other spatial structures. This book presents an up-to-date treatment of mathematical morphology, based on the three pillars that made it an important field of theoretical work and practical application: a solid theoretical foundation, a large body of applications and an efficient implementation. The book is divided into five parts and includes 20 chapters. The five parts are structured as follows: Part I sets out the fundamental aspects of the discipline, starting with a general introduction, followed by two more theory-focused chapters, one addressing its mathematical structure and including an updated formalism, which is the result of several decades of work. Part II extends this formalism to some non-deterministic aspects of the theory, in particular detailing links with other disciplines such as stereology, geostatistics and fuzzy logic. Part III addresses the theory of morphological filtering and segmentation, featuring modern connected approaches, from both theoretical and practical aspects. Part IV features practical aspects of mathematical morphology, in particular how to deal with color and multivariate data, links to discrete geometry and topology, and some algorithmic aspects; without which applications would be impossible. Part V showcases all the previously noted fields of work through a sample of interesting, representative and varied applications.

Author : Norman MacLeod
Publisher : CRC Press
Page : 368 pages
File Size : 42,8 Mb
Release : 2007-07-23
Category : Science
ISBN : 1420008072

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Automated Taxon Identification in Systematics by Norman MacLeod Pdf

The automated identification of biological objects or groups has been a dream among taxonomists and systematists for centuries. However, progress in designing and implementing practical systems for fully automated taxon identification has been frustratingly slow. Regardless, the dream has never died. Recent developments in computer architectures and innovations in software design have placed the tools needed to realize this vision in the hands of the systematics community, not several years hence, but now. And not just for DNA barcodes or other molecular data, but for digital images of organisms, digital sounds, digitized chemical data - essentially any type of digital data. Based on evidence accumulated over the last decade and written by applied researchers, Automated Taxon Identification in Systematics explores contemporary applications of quantitative approaches to the problem of taxon recognition. The book begins by reviewing the current state of systematics and placing automated taxon identification in the context of contemporary trends, needs, and opportunities. The chapters present and evaluate different aspects of current automated system designs. They then provide descriptions of case studies in which different theoretical and practical aspects of the overall group-identification problem are identified, analyzed, and discussed. A recurring theme through the chapters is the relationship between taxonomic identification, automated group identification, and morphometrics. This collection provides a bridge between these communities and between them and the wider world of applied taxonomy. The only book-length treatment that explores automated group identification in systematic context, this text also includes introductions to basic aspects of the fields of contemporary artificial intelligence and mathematical group recognition for the entire biological community.

Author : Archana Tiwari,Ashok Pandey,Pau-Loke Show,Parameswaran Binod
Publisher : CRC Press
Page : 189 pages
File Size : 41,9 Mb
Release : 2023-09-14
Category : Science
ISBN : 9781000928839

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Diatoms by Archana Tiwari,Ashok Pandey,Pau-Loke Show,Parameswaran Binod Pdf

This reference book covers the ecological impact and biotechnological applications of diatoms. Diatoms contribute to 40% of primary productivity in aquatic ecosystems. They have a unique biomonitoring ability and sensitivity toward different pollutants in wastewater, and are thereby a tool for ecotoxicological monitoring. The book discusses the need for newer diatom-based indices for wastewater quality analysis. It describes the nutraceutical value of the myriad compounds like omega 3 fatty acids-DHA, polysaccharides, and phenols in diatoms. It also elaborates on the challenges in sustainable diatom biorefinery. This book is meant for microbiologists, biotechnologists, and marine biologists.

Author : Ashish Ghosh,Sankar K. Pal
Publisher : World Scientific
Page : 374 pages
File Size : 41,6 Mb
Release : 2002
Category : Computers
ISBN : 9812776230

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Soft Computing Approach to Pattern Recognition and Image Processing by Ashish Ghosh,Sankar K. Pal Pdf

This volume provides a collection of sixteen articles containing review and new material. In a unified way, they describe the recent development of theories and methodologies in pattern recognition, image processing and vision using fuzzy logic, artificial neural networks, genetic algorithms, rough sets and wavelets with significant real life applications. The book details the theory of granular computing and the role of a rough-neuro approach as a way of computing with words and designing intelligent recognition systems. It also demonstrates applications of the soft computing paradigm to case based reasoning, data mining and bio-informatics with a scope for future research. The contributors from around the world present a balanced mixture of current theory, algorithms and applications, making the book an extremely useful resource for students and researchers alike. Contents: Pattern Recognition: Multiple Classifier Systems; Building Decision Trees from the Fourier Spectrum of a Tree Ensemble; Clustering Large Data Sets; Multi-objective Variable String Genetic Classifier: Application to Remote Sensing Imagery; Image Processing and Vision: Dissimilarity Measures Between Fuzzy Sets or Fuzzy Structures; Early Vision: Concepts and Algorithms; Self-organizing Neural Network for Multi-level Image Segmentation; Geometric Transformation by Moment Method with Wavelet Matrix; New Computationally Efficient Algorithms for Video Coding; Soft Computing for Computational Media Aesthetics: Analyzing Video Content for Meaning; Granular Computing and Case Based Reasoning: Towards Granular Multi-agent Systems; Granular Computing and Pattern Recognition; Case Base Maintenance: A Soft Computing Perspective; Real Life Applications: Autoassociative Neural Network Models for Pattern Recognition Tasks in Speech and Image; Protein Structure Prediction Using Soft Computing; Pattern Classification for Biological Data Mining. Readership: Upper level undergraduates, graduates, researchers, academics and industrialists.

Author : John C. Russ,F. Brent Neal
Publisher : CRC Press
Page : 1035 pages
File Size : 50,7 Mb
Release : 2018-09-03
Category : Technology & Engineering
ISBN : 9781498740289

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The Image Processing Handbook by John C. Russ,F. Brent Neal Pdf

Consistently rated as the best overall introduction to computer-based image processing, The Image Processing Handbook covers two-dimensional (2D) and three-dimensional (3D) imaging techniques, image printing and storage methods, image processing algorithms, image and feature measurement, quantitative image measurement analysis, and more. Incorporating image processing and analysis examples at all scales, from nano- to astro-, this Seventh Edition: Features a greater range of computationally intensive algorithms than previous versions Provides better organization, more quantitative results, and new material on recent developments Includes completely rewritten chapters on 3D imaging and a thoroughly revamped chapter on statistical analysis Contains more than 1700 references to theory, methods, and applications in a wide variety of disciplines Presents 500+ entirely new figures and images, with more than two-thirds appearing in color The Image Processing Handbook, Seventh Edition delivers an accessible and up-to-date treatment of image processing, offering broad coverage and comparison of algorithms, approaches, and outcomes.

Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 41,6 Mb
Release : 2024-06-10
Category : Electronic
ISBN : 9789814479141

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The Dissimilarity Representation for Pattern Recognition by Anonim Pdf

Author : Aythami Morales,Julian Fierrez,José Salvador Sánchez,Bernardete Ribeiro
Publisher : Springer Nature
Page : 657 pages
File Size : 41,8 Mb
Release : 2019-09-21
Category : Computers
ISBN : 9783030313326

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Pattern Recognition and Image Analysis by Aythami Morales,Julian Fierrez,José Salvador Sánchez,Bernardete Ribeiro Pdf

This 2-volume set constitutes the refereed proceedings of the 9th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2019, held in Madrid, Spain, in July 2019. The 99 papers in these volumes were carefully reviewed and selected from 137 submissions. They are organized in topical sections named: Part I: best ranked papers; machine learning; pattern recognition; image processing and representation. Part II: biometrics; handwriting and document analysis; other applications.

Author : Terry Caelli,Adnan Amin,Robert P.W. Duin,Mohamed Kamel,Dick de Ridder
Publisher : Springer
Page : 866 pages
File Size : 54,7 Mb
Release : 2003-08-02
Category : Computers
ISBN : 9783540706595

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Structural, Syntactic, and Statistical Pattern Recognition by Terry Caelli,Adnan Amin,Robert P.W. Duin,Mohamed Kamel,Dick de Ridder Pdf

This volume contains all papers presented at SSPR 2002 and SPR 2002 hosted by the University of Windsor, Windsor, Ontario, Canada, August 6-9, 2002. This was the third time these two workshops were held back-to-back. SSPR was the ninth International Workshop on Structural and Syntactic Pattern Recognition and the SPR was the fourth International Workshop on Statis- cal Techniques in Pattern Recognition. These workshops have traditionally been held in conjunction with ICPR (International Conference on Pattern Recog- tion), and are the major events for technical committees TC2 and TC1, resp- tively, of the International Association of Pattern Recognition (IAPR). The workshops were held in parallel and closely coordinated. This was an attempt to resolve the dilemma of how to deal, in the light of the progressive specialization of pattern recognition, with the need for narrow-focus workshops without further fragmenting the ?eld and introducing yet another conference that would compete for the time and resources of potential participants. A total of 116 papers were received from many countries with the submission and reviewingprocesses beingcarried out separately for each workshop. A total of 45 papers were accepted for oral presentation and 35 for posters. In addition four invited speakers presented informative talks and overviews of their research. They were: Tom Dietterich, Oregon State University, USA Sven Dickinson, the University of Toronto, Canada Edwin Hancock, University of York, UK Anil Jain, Michigan State University, USA SSPR 2002 and SPR 2002 were sponsored by the IAPR and the University of Windsor.