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Medical Image Enhancement by Using Visual Basic ¿6"
Publicado por
Noor Publishing Jul 2019, 2019
ISBN 10: 6200066736
ISBN 13: 9786200066732
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Abstract:Ultrasound images, though easy to obtain, have inherent flaws due to low frequency tissue image aberrations such as poor contrast caused by the presence of the granular speckle noise. This project aims to improve the ability to differentiate between healthy and malignant conditions via the use of homomorphic filtering such as (Laplacian filter, mean filter, median filter, and sobel filter). The characteristics of the Gaussian window function are adaptively changed based on the input ultrasound image samples taken from different medical ultrasonography scans. A cost estimation function helps establish the adaptability of the filter by means of calculating the mean and variance of local windows and correspondingly evaluate the most discriminative part of the image sample in process. Signal to noise ratio is adopted as an image quality measure of the enhancement operation. Experimental results show the effectiveness of the hemimorphic filtering and the robustness of the overall system as a useful diagnostic tool. This project discusses the result of using (Laplacian filter, mean filter, median filter, sobel filter) filters to get good knowledge of using these filters. 76 pp. Englisch. Nº de ref. del artículo: 9786200066732
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"Medical Image Enhancement by Using Visual Basic \"6\" : Image Processing"
Impresión bajo demandaLibrería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Abstract:Ultrasound images, though easy to obtain, have inherent flaws due to low frequency tissue image aberrations such as poor contrast caused by the presence of the granular speckle noise. This project aims to improve the ability to differentiate between healthy and malignant conditions via the use of homomorphic filtering such as (Laplacian filter, mean filter, median filter, and sobel filter). The characteristics of the Gaussian window function are adaptively changed based on the input ultrasound image samples taken from different medical ultrasonography scans. A cost estimation function helps establish the adaptability of the filter by means of calculating the mean and variance of local windows and correspondingly evaluate the most discriminative part of the image sample in process. Signal to noise ratio is adopted as an image quality measure of the enhancement operation. Experimental results show the effectiveness of the hemimorphic filtering and the robustness of the overall system as a useful diagnostic tool. This project discusses the result of using (Laplacian filter, mean filter, median filter, sobel filter) filters to get good knowledge of using these filters. Nº de ref. del artículo: 9786200066732
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Medical Image Enhancement by Using Visual Basic \ 6\
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: 385883368
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"Medical Image Enhancement by Using Visual Basic \"6\"
Publicado por
Noor Publishing Jul 2019, 2019
ISBN 10: 6200066736
ISBN 13: 9786200066732
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Abstract:Ultrasound images, though easy to obtain, have inherent flaws due to low frequency tissue image aberrations such as poor contrast caused by the presence of the granular speckle noise. This project aims to improve the ability to differentiate between healthy and malignant conditions via the use of homomorphic filtering such as (Laplacian filter, mean filter, median filter, and sobel filter). The characteristics of the Gaussian window function are adaptively changed based on the input ultrasound image samples taken from different medical ultrasonography scans. A cost estimation function helps establish the adaptability of the filter by means of calculating the mean and variance of local windows and correspondingly evaluate the most discriminative part of the image sample in process. Signal to noise ratio is adopted as an image quality measure of the enhancement operation. Experimental results show the effectiveness of the hemimorphic filtering and the robustness of the overall system as a useful diagnostic tool. This project discusses the result of using (Laplacian filter, mean filter, median filter, sobel filter) filters to get good knowledge of using these filters.Books on Demand GmbH, Überseering 33, 22297 Hamburg 76 pp. Englisch. Nº de ref. del artículo: 9786200066732
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Medical Image Enhancement by Using Visual Basic "6" | Image Processing
Librería: preigu, Osnabrück, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Medical Image Enhancement by Using Visual Basic "6" | Image Processing | Mazin Riyadh Al-Hameed | Taschenbuch | Englisch | 2019 | Noor Publishing | EAN 9786200066732 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Nº de ref. del artículo: 118706966
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