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1. |
Record Nr. |
UNINA9910711323803321 |
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Autore |
Collins W. D (William Dennis), <1875-> |
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Titolo |
Index of analyses of natural waters in the United States, 1926 to 1931 / / by W.D. Collins and C.S. Howard |
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Pubbl/distr/stampa |
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[Washington, D.C.] : , : United States Department of the Interior, Geological Survey, , 1932 |
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Descrizione fisica |
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1 online resource (pages 191-209) |
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Collana |
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Water-supply paper ; ; 659-C |
Contributions to the hydrology of the United States, 1932 |
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Soggetti |
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Groundwater - United States - Analysis |
Water - United States - Analysis |
Groundwater - Analysis |
Water - Analysis |
United States |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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2. |
Record Nr. |
UNINA9910811712103321 |
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Autore |
Rajinikanth Venkatesan |
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Titolo |
A beginner's guide to multilevel image thresholding / / Venkatesan Rajinikanth, Nadaradjane Sri Madhava Raja, Nilanjan Dey |
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Pubbl/distr/stampa |
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Boca Raton, FL : , : CRC Press, , 2021 |
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©2021 |
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ISBN |
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1-00-304944-3 |
1-000-22833-9 |
1-003-04944-3 |
1-000-22845-2 |
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Edizione |
[First edition] |
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Descrizione fisica |
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1 online resource : illustrations, portraits (chiefly color) |
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Collana |
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CRC focus series |
Intelligent signal processing and data analysis |
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Disciplina |
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Soggetti |
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Image segmentation |
Threshold logic |
Imaging systems in medicine |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Sommario/riassunto |
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"Choosing appropriate thresholding based on the existing image (Grayscale/RGB) and the assigned task is essential to attain better result and the complexity of the image thresholding is largely reduced with the help of a chosen heuristic algorithm technique. This book emphasizes various image thresholding methods that are necessary for image pre-processing and initial level enhancement. It presents a detailed evaluation, such as choosing the threshold function, need for the heuristic algorithm, choice of objective function, and evaluation of the outcome along with real-time applications in detail"-- |
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