9786206751489 - image segmentation using exchange market algorithm de kalyani, r.; sathya, p. d.; sakthivel, v. p. (8 resultados)
- Tapa blanda
Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 100,17
Envío por EUR 3,46Se envía dentro de Estados Unidos de AmericaCantidad disponible: 4 disponibles
Condición: New.
- Más imágenes
- Tapa blanda
Librería: preigu, Osnabrück, Alemaniapreigu
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 67,20
Envío por EUR 70,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 5 disponibles
Taschenbuch. Condición: Neu. Image Segmentation using Exchange Market Algorithm | R. Kalyani (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206751489 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
- Más imágenes
- Tapa blanda
- Impresión bajo demanda
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 79,90
Envío por EUR 23,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Image segmentation is the basic step for assisting experts to determine immense required information from the image for real time applications. In this research work, the most promising objective functions such as Kapur, Otsu and Mi…nimum Cross Entropy (MCE) are used for precise image segmentation. In this work, the similarity detection based multilevel thresholding technique is used to achieve the target. The objective is attained through powerful robust Exchange Market Algorithm (EMA) aided with the objective functions. The three teams of EMA in stable and unstable market situations and primarily the role of team B and C following team A of EMA plays a vital role to achieve balanced exploration and exploitation. Thus, the segmented details assist the experts for various real time applications. The proposed method using EMA based MLT is applied and tested with four different threshold values m = 2, 3, 4, 5 for gray images and the color images are tested at 4,5,6 and 7 threshold levels. Various performance metrics such as low CPU time, high PSNR with low RMSE, high SSIM and uniformity measure validates the performance of the proposed technique. 176 pp. Englisch.
- Tapa blanda
- Impresión bajo demanda
Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 103,02
Envío por EUR 7,59Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 4 disponibles
Condición: New. Print on Demand.
- Tapa blanda
- Impresión bajo demanda
Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 103,67
Envío por EUR 9,95Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 4 disponibles
Condición: New. PRINT ON DEMAND.
- Más imágenes
- Tapa blanda
- Impresión bajo demanda
Librería: moluna, Greven, Alemaniamoluna
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 64,09
Envío por EUR 48,99Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Image segmentation is the basic step for assisting experts to determine immense required information from the image for real time applications. In this research work, the most promising objective functions such as Kap…ur, Otsu and Minimum Cross Entropy (MCE).
- Más imágenes
- Tapa blanda
- Impresión bajo demanda
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 79,90
Envío por EUR 60,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Image segmentation is the basic step for assisting experts to determine immense required information from the image for real time applications. In this research work, the most promising objective functions such as Kapur, Otsu and Minimu…m Cross Entropy (MCE) are used for precise image segmentation. In this work, the similarity detection based multilevel thresholding technique is used to achieve the target. The objective is attained through powerful robust Exchange Market Algorithm (EMA) aided with the objective functions. The three teams of EMA in stable and unstable market situations and primarily the role of team B and C following team A of EMA plays a vital role to achieve balanced exploration and exploitation. Thus, the segmented details assist the experts for various real time applications. The proposed method using EMA based MLT is applied and tested with four different threshold values m = 2, 3, 4, 5 for gray images and the color images are tested at 4,5,6 and 7 threshold levels. Various performance metrics such as low CPU time, high PSNR with low RMSE, high SSIM and uniformity measure validates the performance of the proposed technique.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 176 pp. Englisch.
- Más imágenes
- Tapa blanda
- Impresión bajo demanda
Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 80,86
Envío por EUR 61,40Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Image segmentation is the basic step for assisting experts to determine immense required information from the image for real time applications. In this research work, the most promising objective functions such as Kapur, Otsu and Minimum… Cross Entropy (MCE) are used for precise image segmentation. In this work, the similarity detection based multilevel thresholding technique is used to achieve the target. The objective is attained through powerful robust Exchange Market Algorithm (EMA) aided with the objective functions. The three teams of EMA in stable and unstable market situations and primarily the role of team B and C following team A of EMA plays a vital role to achieve balanced exploration and exploitation. Thus, the segmented details assist the experts for various real time applications. The proposed method using EMA based MLT is applied and tested with four different threshold values m = 2, 3, 4, 5 for gray images and the color images are tested at 4,5,6 and 7 threshold levels. Various performance metrics such as low CPU time, high PSNR with low RMSE, high SSIM and uniformity measure validates the performance of the proposed technique.
