Search results for Image Segmentation using Exchange Market Algorithm
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Image Segmentation using Exchange Market Algorithm
Published by
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206751481
ISBN 13: 9786206751489
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Softcover
Seller: Books Puddle, New York, NY, U.S.A.
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Image Segmentation using Exchange Market Algorithm
Published by
LAP LAMBERT Academic Publishing Aug 2023, 2023
ISBN 10: 6206751481
ISBN 13: 9786206751489
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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 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. 176 pp. Englisch. Seller Inventory # 9786206751489
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Image Segmentation using Exchange Market Algorithm
Published by
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206751481
ISBN 13: 9786206751489
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Softcover
Seller: Majestic Books, Hounslow, United Kingdom
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Image Segmentation using Exchange Market Algorithm
Published by
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206751481
ISBN 13: 9786206751489
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Seller: Biblios, Frankfurt am main, HESSE, Germany
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Image Segmentation using Exchange Market Algorithm
Published by
LAP Lambert Academic Publishing, 2023
ISBN 10: 6206751481
ISBN 13: 9786206751489
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Seller: moluna, Greven, Germany
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Condition: 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 Kapur, Otsu and Minimum Cross Entropy (MCE). Seller Inventory # 1095306107
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Image Segmentation using Exchange Market Algorithm
Published by
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206751481
ISBN 13: 9786206751489
New
Taschenbuch
Seller: preigu, Osnabrück, Germany
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Taschenbuch. Condition: 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. Seller Inventory # 127613857
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Image Segmentation using Exchange Market Algorithm
Published by
LAP LAMBERT Academic Publishing Aug 2023, 2023
ISBN 10: 6206751481
ISBN 13: 9786206751489
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 176 pp. Englisch. Seller Inventory # 9786206751489
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Image Segmentation using Exchange Market Algorithm
Published by
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206751481
ISBN 13: 9786206751489
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9786206751489