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00000cam a2200000M 4500 |
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EBOOKCENTRAL_on1155413795 |
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OCoLC |
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20240329122006.0 |
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m o d |
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cr |n||||||||| |
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200527s2020 xx o 000 0 eng d |
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|a YDX
|b eng
|c YDX
|d EBLCP
|d REDDC
|d OCLCF
|d OCLCQ
|d OCLCO
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| 019 |
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|a 1156146033
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| 020 |
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|a 9781119681960
|q (electronic bk.)
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| 020 |
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|a 1119681960
|q (electronic bk.)
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|z 1119681804
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|z 9781119681809
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|a (OCoLC)1155413795
|z (OCoLC)1156146033
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4 |
|a TA1634
|b .M334 2020
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| 082 |
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4 |
|a 006.37
|2 23
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| 049 |
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|a UAMI
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| 245 |
0 |
0 |
|a MACHINE VISION INSPECTION SYSTEMS
|h [electronic resource] :
|b image processing, concepts.
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| 260 |
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|a [S.l.] :
|b JOHN WILEY & SONS,
|c 2020.
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| 300 |
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|a 1 online resource
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| 505 |
0 |
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|a Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1 Land-Use Classification with Integrated Data -- 1.1 Introduction -- 1.2 Background Study -- 1.2.1 Overview of Land-Use and Land-Cover Information -- 1.2.2 Geographical Information Systems -- 1.2.3 GIS-Related Data Types -- 1.2.3.1 Point Data Sets -- 1.2.3.2 Aerial Data Sets -- 1.2.4 Related Studies -- 1.3 System Design -- 1.4 Implementation Details -- 1.4.1 Materials -- 1.4.2 Preprocessing -- 1.4.3 Built-Up Area Extraction -- 1.4.4 Per-Pixel Classification -- 1.4.5 Clustering -- 1.4.6 Segmentation
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| 505 |
8 |
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|a 1.4.7 Object-Based Image Classification -- 1.4.8 Foursquare Data Preprocessing and Quality Analysis -- 1.4.9 Integration of Satellite Images with Foursquare Data -- 1.4.10 Building Block Identification -- 1.4.11 Overlay of Foursquare Points -- 1.4.12 Visualization of Land Usage -- 1.4.13 Common Platform Development -- 1.5 System Evaluation -- 1.5.1 Experimental Evaluation Process -- 1.5.2 Evaluation of the Classification Using Base Error Matrix -- 1.6 Discussion -- 1.6.1 Contribution of the Proposed Approach -- 1.6.2 Limitations of the Data Sets -- 1.6.3 Future Research Directions
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| 505 |
8 |
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|a 1.7 Conclusion -- References -- Chapter 2 Indian Sign Language Recognition Using Soft Computing Techniques -- 2.1 Introduction -- 2.2 Related Works -- 2.2.1 The Domain of Sign Language -- 2.2.2 The Data Acquisition Methods -- 2.2.3 Preprocessing Steps -- 2.2.3.1 Image Restructuring -- 2.2.3.2 Skin Color Detection -- 2.2.4 Methods of Feature Extraction Used in the Experiments -- 2.2.5 Classification Techniques -- 2.2.5.1 K-Nearest Neighbor -- 2.2.5.2 Neural Network Classifier -- 2.2.5.3 Naive Baÿes Classifier -- 2.3 Experiments -- 2.3.1 Experiments on ISL Digits
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| 505 |
8 |
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|a 2.3.1.1 Results and Discussions on the First Experiment -- 2.3.1.2 Results and Discussions on Second Experiment -- 2.3.2 Experiments on ISL Alphabets -- 2.3.2.1 Experiments with Single-Handed Alphabet Signs -- 2.3.2.2 Results of Single-Handed Alphabet Signs -- 2.3.2.3 Experiments with Double-Handed Alphabet Signs -- 2.3.2.4 Results on Double-Handed Alphabets -- 2.3.3 Experiments on ISL Words -- 2.3.3.1 Results on ISL Word Signs -- 2.4 Summary -- References -- Chapter 3 Stored Grain Pest Identification Using an Unmanned Aerial Vehicle (UAV)-Assisted Pest Detection Model -- 3.1 Introduction
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| 505 |
8 |
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|a 3.2 Related Work -- 3.3 Proposed Model -- 3.4 Results and Discussion -- 3.5 Conclusion -- References -- Chapter 4 Object Descriptor for Machine Vision -- 4.1 Outline -- 4.2 Chain Codes -- 4.3 Polygonal Approximation -- 4.4 Moments -- 4.5 HU Invariant Moments -- 4.6 Zernike Moments -- 4.7 Fourier Descriptors -- 4.8 Quadtree -- 4.9 Conclusion -- References -- Chapter 5 Flood Disaster Management: Risks, Technologies, and Future Directions -- 5.1 Flood Management -- 5.1.1 Introduction -- 5.1.2 Global Flood Risks and Incidents -- 5.1.3 Causes of Floods -- 5.1.4 Floods in Pakistan
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| 590 |
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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| 650 |
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0 |
|a Computer vision.
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| 650 |
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6 |
|a Vision par ordinateur.
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| 650 |
|
7 |
|a Computer vision
|2 fast
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| 776 |
0 |
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|c Original
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|w (OCoLC)1134490906
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|z Texto completo
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|a ProQuest Ebook Central
|b EBLB
|n EBL6207786
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|a 92
|b IZTAP
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