Pemula Rambabu (24 results)

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- Softcover
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Taschenbuch. Condition: Neu. Techniques for Generation of Random Fields for Image Segmentation | and Image Analysis | Rambabu Pemula (u. a.) | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786203199857 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

- Softcover
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- Softcover
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- Softcover
Seller: Mispah books, Redhill, SURRE, United KingdomMispah books
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paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

- Softcover
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- Softcover
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Published by Edizioni Sapienza, 2021
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- Softcover
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- Softcover
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- Softcover
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- Softcover
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Published by Sciencia Scripts, 2021
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Language: English
Published by LAP LAMBERT Academic Publishing Dez 2020, 2020
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book consists of image processing in particular related to image segmentation. The book depicts four issues. These issues related to segmentation of low contrast images, removal of shadow in the images, reduction of high dimensional images, and computational complexity of segmentation techniques. To address these issues, the author proposed OT-FO, GRF-B, GORF-LLE-ML, and H-ML technique. The results demonstrated that the H-ML approach obtained an accurate segmentation outcome on low contrast, shadow, high dimensional images, and different kinds of noises with reduced computational time. In the study of the performance of the proposed methods, the author has conducted experiments using benchmark databases like Berkely dataset (BSD500), Semantic dataset and author own dataset, etc., and has made a study of mean, standard deviation, Jaccard index, correlation, dice coefficient, segmentation accuracy, and time complexity 152 pp. Englisch.…

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The book consists of image processing in particular related to image segmentation. The book depicts four issues. These issues related to segmentation of low contrast images, removal of shadow in the images, reduction of high dimensional images, and computational complexity of segmentation techniques. To address these issues, the author proposed OT-FO, GRF-B, GORF-LLE-ML, and H-ML technique. The results demonstrated that the H-ML approach obtained an accurate segmentation outcome on low contrast, shadow, high dimensional images, and different kinds of noises with reduced computational time. In the study of the performance of the proposed methods, the author has conducted experiments using benchmark databases like Berkely dataset (BSD500), Semantic dataset and author own dataset, etc., and has made a study of mean, standard deviation, Jaccard index, correlation, dice coefficient, segmentation accuracy, and time complexity. …

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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: SHARADA MANI D.Dr. D. Sharada Mani, working as Associate Professor, Department of CSE, NRI Institute of Technology, Guntur.Prof. C. Nagaraju, working as Professor, Department of CSE, YSR Engineering College of Y.V.University, Proddat. …

Language: English
Published by LAP LAMBERT Academic Publishing Dez 2020, 2020
- Softcover
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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The book consists of image processing in particular related to image segmentation. The book depicts four issues. These issues related to segmentation of low contrast images, removal of shadow in the images, reduction of high dimensional images, and computational complexity of segmentation techniques. To address these issues, the author proposed OT-FO, GRF-B, GORF-LLE-ML, and H-ML technique. The results demonstrated that the H-ML approach obtained an accurate segmentation outcome on low contrast, shadow, high dimensional images, and different kinds of noises with reduced computational time. In the study of the performance of the proposed methods, the author has conducted experiments using benchmark databases like Berkely dataset (BSD500), Semantic dataset and author own dataset, etc., and has made a study of mean, standard deviation, Jaccard index, correlation, dice coefficient, segmentation accuracy, and time complexityVDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 152 pp. Englisch. …

- Softcover
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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Este libro describe la segmentación de imágenes a múltiples escalas mediante la integración con diferentes estructuras. Estas técnicas se basan en información de límites, texturas y no texturas para la segmentación de imágenes a múltiples escalas. Esta obra sostiene que las cuestiones de la selección de la escala y la detección de la estructura no pueden tratarse por separado para la segmentación. Las técnicas de soft computing son las más adecuadas para abordar este tipo de problemas. La segmentación difusa de imágenes es una tarea que clasifica los píxeles de una imagen utilizando diferentes etiquetas para que la imagen se divida en regiones etiquetadas no superpuestas. En esta tesis se han estudiado y desarrollado técnicas basadas en clusters difusos, la técnica de Entropía Difusa, la lógica difusa basada en reglas de tipo II, la detección de bordes basada en la lógica difusa de gradiente, el modelo C-means difuso generalizado y el modelo triangular de Entropía Difusa para imágenes de súper resolución. Los experimentos se han realizado con bases de datos de imágenes conocidas y los resultados se producen en forma de tablas y gráficos para el análisis objetivo y las salidas de las imágenes de entrada se colocan para el análisis subjetivo.…

- Softcover
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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Ce livre décrit la segmentation d'images à plusieurs échelles en intégrant différentes structures. Ces techniques s'appuient sur des informations de frontières, texturées et non texturées pour la segmentation d'images à plusieurs échelles. Cet ouvrage soutient que les questions de sélection d'échelle et de détection de structure ne peuvent être traitées séparément pour la segmentation. Les techniques d'informatique douce sont les plus appropriées pour traiter ce type de problèmes. La segmentation d'image floue est une tâche qui consiste à classer les pixels d'une image en utilisant différentes étiquettes de sorte que l'image soit divisée en régions étiquetées non chevauchées. Dans cette thèse, des techniques basées sur le regroupement flou sont étudiées et développées : technique d'entropie floue, logique floue de type II basée sur des règles, détection des bords basée sur la logique floue du gradient, C-means flou généralisé et modèle triangulaire d'entropie floue pour les images à super résolution. Les expériences ont été réalisées sur des bases de données d'images bien connues et les résultats sont produits sous forme de tableaux et de graphiques pour une analyse objective et les sorties des images d'entrée sont placées pour une analyse subjective.…

- Softcover
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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Questo libro descrive la segmentazione dell'immagine a scale multiple integrando con diverse strutture. Queste tecniche si basano su informazioni di confine, testurizzate e non testurizzate per la segmentazione dell'immagine a scale multiple. Questo lavoro sostiene che i problemi di selezione della scala e di rilevamento della struttura non possono essere trattati separatamente per la segmentazione. Le tecniche di soft computing sono più adatte per affrontare questo tipo di problemi. La segmentazione fuzzy dell'immagine è un compito che classifica i pixel di un'immagine usando diverse etichette in modo che l'immagine sia partizionata in regioni etichettate non sovrapposte. In questa dissertazione sono state studiate e sviluppate tecniche basate su cluster fuzzy, la tecnica Fuzzy Entropy, la logica fuzzy di tipo II basata su regole, il rilevamento dei bordi basato sulla logica fuzzy del gradiente, Fuzzy C-means generalizzato e il modello triangolare Fuzzy Entropy per immagini a super risoluzione. Gli esperimenti sono stati fatti su note banche dati di immagini e i risultati sono prodotti sotto forma di tabelle e grafici per l'analisi oggettiva e gli output delle immagini di input sono posti per l'analisi soggettiva.…

- Softcover
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Seller: moluna, Greven, Germanymoluna
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dieses Buch beschreibt die Bildsegmentierung in mehreren Massstaeben durch die Integration verschiedener Strukturen. Diese Techniken stuetzen sich auf Rand-, Struktur- und Nicht-Strukturinformationen fuer die Bildsegmentierung in mehreren Massstaeben. In dieser A.…

- Softcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Bildwiederherstellung ist eine sehr wichtige Aufgabe, um die Feinheiten des Bildes zu erhalten.Einer der Konflikte bei der Bildwiederherstellung ist Impulsrauschen. Impulsrauschen ist einUmgebungsgeraeusch, das das Bild waehrend der Uebertragung, der Speicheru.…