Intelligent image analysis for plant phenotyping / (Record no. 70536)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 05854cam a2200673Ii 4500 |
| 001 - CONTROL NUMBER | |
| control field | 9781315177304 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220711212151.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 200915t20212021flua ob 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781351709996 |
| -- | electronic book |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 1351709992 |
| -- | electronic book |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781351709989 |
| -- | electronic publication |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 1351709984 |
| -- | electronic publication |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781351709972 |
| -- | Mobipocket electronic book |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 1351709976 |
| -- | Mobipocket electronic book |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781315177304 |
| -- | electronic book |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 1315177307 |
| -- | electronic book |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 576.5/30285642 |
| 245 00 - TITLE STATEMENT | |
| Title | Intelligent image analysis for plant phenotyping / |
| 250 ## - EDITION STATEMENT | |
| Edition statement | First edition. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 1 online resource (xix, 326 pages) |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Preface -- Acknowledgments -- Editors -- Contributors -- Part I Basics -- Chapter 1 Image-Based Plant Phenotyping: Opportunities and Challenges -- 1.1 Introduction -- 1.2 Importance of Phenotyping Research -- 1.3 Plant Phenotyping Analysis Framework -- 1.4 Plant Phenotyping Networks -- 1.5 Opportunities and Challenges Associated with High-Throughput Image-Based Phenotyping -- 1.6 Image-Based Plant Phenotyping Analysis -- 1.7 Data Management for Plant Phenotyping |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Remark 2 | 1.8 Computational Challenges in Image-Based Plant Phenotyping -- 1.8.1 Computational Resources -- 1.8.2 Algorithm Robustness -- 1.8.3 Inference from Incomplete Information -- 1.8.4 Large Phenotype Search Space -- 1.8.5 Analysis of Image Sequences -- 1.8.6 Lack of Benchmark Datasets -- 1.9 Looking into the Future -- 1.9.1 Imaging Platforms -- 1.9.2 Integrated Phenotypes -- 1.9.3 Learning-Based Approaches -- 1.9.4 Shape Modeling and Simulation for Phenotyping -- 1.9.5 Event-Based Phenotypes -- 1.10 Summary -- References -- Chapter 2 Multisensor Phenotyping for Crop Physiology |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Remark 2 | 2.1 Crop Phenotyping -- 2.1.1 Breeding for Crop Performance and Yield -- 2.1.2 Purpose of Phenotypic Image Analysis -- 2.1.3 Intelligent Image Analysis -- 2.1.4 Critical Traits for Seed Crop Improvement -- 2.2 Cameras and Sensors for Crop Measurements -- 2.2.1 RGB Imaging -- 2.2.1.1 Greenhouse Parameters Recorded with RGB Cameras -- 2.2.1.2 Field Parameters -- 2.2.2 3D Laser Imaging -- 2.2.2.1 Greenhouse Parameters Recorded with Laser Scanners -- 2.2.2.2 Field Parameters Recorded with Laser Scanners -- 2.2.3 Fluorescence Imaging -- 2.2.3.1 Greenhouse Parameters -- 2.2.3.2 Field Parameters |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Remark 2 | 2.3 Conclusions -- Acknowledgment -- References -- Chapter 3 Image Processing Techniques for Plant Phenotyping -- 3.1 Introduction -- 3.2 Goals of Plant Phenotyping -- 3.3 Background and Literature Survey -- 3.4 Image-Processing Methodology -- 3.5 Image Acquisition/Imaging Basics -- 3.5.1 Image Data Structures -- 3.5.2 Visible Light Images -- 3.5.3 Infrared Images -- 3.5.4 Hyperspectral and Multispectral Images -- 3.5.5 Fluorescent Images -- 3.6 Basic Image-Processing Operations -- 3.6.1 Grayscale Conversion -- 3.6.2 Histogram Processing -- 3.6.3 Thresholding -- 3.6.4 Edge Detection |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Remark 2 | 3.6.5 Image Transformations -- 3.6.6 Segmentation -- 3.6.6.1 Frame Difference Segmentation -- 3.6.6.2 Color-Based Segmentation -- 3.6.7 Morphological Operations -- 3.6.7.1 Dilation and Erosion -- 3.6.7.2 Opening and Closing -- 3.6.8 Thinning -- 3.6.9 Connected Component Analysis -- 3.6.10 Skeletonization -- 3.6.10.1 Graphical Representation -- 3.7 Feature Computation -- 3.7.1 Basic Shape Properties -- 3.7.1.1 Length -- 3.7.1.2 Area -- 3.7.1.3 Bounding Box -- 3.7.1.4 Aspect Ratio -- 3.7.1.5 Convex Hull -- 3.7.1.6 Circularity -- 3.7.1.7 Straightness -- 3.7.2 Color Properties |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | "Domesticated crops are the result of artificial selection for particular phenotypes and, in some case, natural selection for an adaptive trait. Intelligent Image Analysis for Plant Phenotyping reviews information on time-saving techniques using computer vision and imaging technologies. These methodologies provide an automated, non-invasive and scalable mechanism to define and collect plant phenotypes. Beautifully illustrated with numerous color images, this book is invaluable for those working in the emerging fields at the intersection of computer vision and plant sciences"-- |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| General subdivision | Digital techniques. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Samal, Ashok, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Choudhury, Sruti Das, |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://www.taylorfrancis.com/books/9781315177304 |
| 856 42 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Boca Raton, FL : |
| -- | CRC Press, |
| -- | 2021. |
| 264 #4 - | |
| -- | ©2021 |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 520 ## - SUMMARY, ETC. | |
| -- | Provided by publisher. |
| 588 ## - | |
| -- | OCLC-licensed vendor bibliographic record. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Image processing |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer vision. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Phenotype. |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | COMPUTERS / Computer Graphics / General |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | SCIENCE / Life Sciences / Botany |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | SCIENCE / Life Sciences / General |
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