Medical Image Fusion has been used to derive the useful information from multimodality medical image data. The idea is to improve the image content by fusing images like CT and MRI image, so as to improve more information to the doctor and clinical treatment planning system. Despite the significant research conducted on this topic and many algorithms have been developed for the image fusion, but the development of an efficient image fusion method is still a big challenge for the researchers. In the Present work, New Efficient Method is proposed for Image Fusion. The proposed method is developed using Discrete Wavelet Transform and it involves region based fusion rules to optimize the image pixel values to be fused togather. The proposed method is compared with both qualitatively as well as quantitatively with the other fusion methods. After that the resultant images are validated using Phantom Images as well as Clinical Testing. The Experimental results show that the proposed method is better than other multi model image fusion methods and increases the contrast of the fused image thereby preserving the detail features.
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Dr. Pankaj Bhambri ist in der IT-Abteilung des GNDEC in Ludhiana tätig.Dr. Manpreet Malhi ist derzeit als Data Scientist/BI-Entwickler/Business Analyst in Toronto, Kanada, tätig.Dr. Suresh Kumar ist in der CSE-Abteilung der Geeta University in Panipat tätig. Jeder der Autoren verfügt über mehr als 20 Jahre Berufserfahrung.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Medical Image Fusion has been used to derive the useful information from multimodality medical image data. The idea is to improve the image content by fusing images like CT and MRI image, so as to improve more information to the doctor and clinical treatment planning system. Despite the significant research conducted on this topic and many algorithms have been developed for the image fusion, but the development of an efficient image fusion method is still a big challenge for the researchers. In the Present work, New Efficient Method is proposed for Image Fusion. The proposed method is developed using Discrete Wavelet Transform and it involves region based fusion rules to optimize the image pixel values to be fused togather. The proposed method is compared with both qualitatively as well as quantitatively with the other fusion methods. After that the resultant images are validated using Phantom Images as well as Clinical Testing. The Experimental results show that the proposed method is better than other multi model image fusion methods and increases the contrast of the fused image thereby preserving the detail features. 68 pp. Englisch. Bestandsnummer des Verkäufers 9783659208089
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bhambri PankajEr. Pankaj Bhambri graduated from Dr. B.R.Ambedkar University, Agra with B.E.(IT) HONORS in 2003. He Completed his M.Tech. (CSE) from P.T.U., Jalandhar at Guru Nanak Dev Engineering College, Ludhiana. His interest areas. Bestandsnummer des Verkäufers 5139736
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Medical Image Fusion has been used to derive the useful information from multimodality medical image data. The idea is to improve the image content by fusing images like CT and MRI image, so as to improve more information to the doctor and clinical treatment planning system. Despite the significant research conducted on this topic and many algorithms have been developed for the image fusion, but the development of an efficient image fusion method is still a big challenge for the researchers. In the Present work, New Efficient Method is proposed for Image Fusion. The proposed method is developed using Discrete Wavelet Transform and it involves region based fusion rules to optimize the image pixel values to be fused togather. The proposed method is compared with both qualitatively as well as quantitatively with the other fusion methods. After that the resultant images are validated using Phantom Images as well as Clinical Testing. The Experimental results show that the proposed method is better than other multi model image fusion methods and increases the contrast of the fused image thereby preserving the detail features.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch. Bestandsnummer des Verkäufers 9783659208089
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Medical Image Fusion has been used to derive the useful information from multimodality medical image data. The idea is to improve the image content by fusing images like CT and MRI image, so as to improve more information to the doctor and clinical treatment planning system. Despite the significant research conducted on this topic and many algorithms have been developed for the image fusion, but the development of an efficient image fusion method is still a big challenge for the researchers. In the Present work, New Efficient Method is proposed for Image Fusion. The proposed method is developed using Discrete Wavelet Transform and it involves region based fusion rules to optimize the image pixel values to be fused togather. The proposed method is compared with both qualitatively as well as quantitatively with the other fusion methods. After that the resultant images are validated using Phantom Images as well as Clinical Testing. The Experimental results show that the proposed method is better than other multi model image fusion methods and increases the contrast of the fused image thereby preserving the detail features. Bestandsnummer des Verkäufers 9783659208089
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Taschenbuch. Zustand: Neu. Enhanced Model for Fusion of Multi-Modality Images | Discrete Wavelet Transformation using Region based Fusion Rules | Pankaj Bhambri (u. a.) | Taschenbuch | 68 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783659208089 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 106329273
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