Image Segmentation using Exchange Market Algorithm - Couverture souple

Kalyani, R.; Sathya, P. D.; Sakthivel, V. P.

9786206751489: Image Segmentation using Exchange Market Algorithm

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ISBN 10 : 6206751481 ISBN 13 : 9786206751489

Editeur : LAP LAMBERT Academic Publishing, 2023

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�diteur: LAP LAMBERT Academic Publishing
Date d'�dition: 2023
Langue: anglais
ISBN 10: 6206751481
ISBN 13: 9786206751489
Reliure: Broch�
Nombre de pages: 176
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Image Segmentation using Exchange Market Algorithm

R. Kalyani

Edit� par LAP LAMBERT Academic Publishing Aug 2023, 2023

ISBN 10 : 6206751481 ISBN 13 : 9786206751489

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Taschenbuch. Etat : 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. N� de r�f. du vendeur 9786206751489

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Image Segmentation using Exchange Market Algorithm

Kalyani, R.; Sathya, P.D.; Sakthivel, V.P.

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Image Segmentation using Exchange Market Algorithm

Kalyani, R.; Sathya, P.D.; Sakthivel, V.P.

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Image Segmentation using Exchange Market Algorithm

Kalyani, R.; Sathya, P.D.; Sakthivel, V.P.

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ISBN 10 : 6206751481 ISBN 13 : 9786206751489

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Image Segmentation using Exchange Market Algorithm

Kalyani, R.|Sathya, P.D.|Sakthivel, V.P.

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Etat : 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). N� de r�f. du vendeur 1095306107

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Image Segmentation using Exchange Market Algorithm

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Image Segmentation using Exchange Market Algorithm

R. Kalyani

Edit� par LAP LAMBERT Academic Publishing Aug 2023, 2023

ISBN 10 : 6206751481 ISBN 13 : 9786206751489

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Taschenbuch. Etat : 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 Landstra�e 99, 66123 Saarbr�cken 176 pp. Englisch. N� de r�f. du vendeur 9786206751489

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Image Segmentation using Exchange Market Algorithm

R. Kalyani

Edit� par LAP LAMBERT Academic Publishing, 2023

ISBN 10 : 6206751481 ISBN 13 : 9786206751489

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Taschenbuch. Etat : 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. N� de r�f. du vendeur 9786206751489

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