The main objective of this book is to explore the early detection of Diabetic Retinopathy by accurately finding the presence of lesions like hard exudates and haemorrhages using novel image processing approach. This book investigates the severity level of Diabetic Retinopathy by detecting the presence of exudates. The input colour fundus images are preprocessed by a progressive Median filter and the exudates are segmented by applying hierarchical correlation clustering. Different features based on colour, brightness and dynamic shape are extracted. These feature vectors are applied as input to the Random Forest (RF) classifier. This classifier grade the severity of the disease as normal, moderate or severe based on the location of exudates with respect to the macula. This book also discusses an efficient localization of Optic Disc and macula by applying an image processing algorithm. The important anatomical structure, macula, is located with the help of Colour K-means segmentation algorithm. The detection of important symptom Haemorrhages in colour retinal images is also explained in this book.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. Neuware -The main objective of this book is to explore the early detection of Diabetic Retinopathy by accurately finding the presence of lesions like hard exudates and haemorrhages using novel image processing approach. This book investigates the severity level of Diabetic Retinopathy by detecting the presence of exudates. The input colour fundus images are preprocessed by a progressive Median filter and the exudates are segmented by applying hierarchical correlation clustering. Different features based on colour, brightness and dynamic shape are extracted. These feature vectors are applied as input to the Random Forest (RF) classifier. This classifier grade the severity of the disease as normal, moderate or severe based on the location of exudates with respect to the macula. This book also discusses an efficient localization of Optic Disc and macula by applying an image processing algorithm. The important anatomical structure, macula, is located with the help of Colour K-means segmentation algorithm. The detection of important symptom Haemorrhages in colour retinal images is also explained in this book. 140 pp. Englisch. N° de réf. du vendeur 9786200503916
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Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ramasubramanian BoobalanDr. B. Ramasubramanian is currently working as an Assistant Professor in Electronics and Communication Engineering Department at SRM TRP Engineering College, Tiruchirappalli,Tamil Nadu, India. Dr. S. Selvaperu. N° de réf. du vendeur 385892602
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Vendeur : Books Puddle, New York, NY, Etats-Unis
Etat : New. N° de réf. du vendeur 26390076007
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Vendeur : Majestic Books, Hounslow, Royaume-Uni
Etat : New. Print on Demand. N° de réf. du vendeur 389523896
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Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
Etat : New. PRINT ON DEMAND. N° de réf. du vendeur 18390076013
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The main objective of this book is to explore the early detection of Diabetic Retinopathy by accurately finding the presence of lesions like hard exudates and haemorrhages using novel image processing approach. This book investigates the severity level of Diabetic Retinopathy by detecting the presence of exudates. The input colour fundus images are preprocessed by a progressive Median filter and the exudates are segmented by applying hierarchical correlation clustering. Different features based on colour, brightness and dynamic shape are extracted. These feature vectors are applied as input to the Random Forest (RF) classifier. This classifier grade the severity of the disease as normal, moderate or severe based on the location of exudates with respect to the macula. This book also discusses an efficient localization of Optic Disc and macula by applying an image processing algorithm. The important anatomical structure, macula, is located with the help of Colour K-means segmentation algorithm. The detection of important symptom Haemorrhages in colour retinal images is also explained in this book.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 140 pp. Englisch. N° de réf. du vendeur 9786200503916
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Advancement in the Detection of Diabetic Retinopathy | Advancement in the detection of diabetic retinopathy using colour retinal images | Boobalan Ramasubramanian (u. a.) | Taschenbuch | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200503916 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 117964396
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The main objective of this book is to explore the early detection of Diabetic Retinopathy by accurately finding the presence of lesions like hard exudates and haemorrhages using novel image processing approach. This book investigates the severity level of Diabetic Retinopathy by detecting the presence of exudates. The input colour fundus images are preprocessed by a progressive Median filter and the exudates are segmented by applying hierarchical correlation clustering. Different features based on colour, brightness and dynamic shape are extracted. These feature vectors are applied as input to the Random Forest (RF) classifier. This classifier grade the severity of the disease as normal, moderate or severe based on the location of exudates with respect to the macula. This book also discusses an efficient localization of Optic Disc and macula by applying an image processing algorithm. The important anatomical structure, macula, is located with the help of Colour K-means segmentation algorithm. The detection of important symptom Haemorrhages in colour retinal images is also explained in this book. N° de réf. du vendeur 9786200503916
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Vendeur : Buchpark, Trebbin, Allemagne
Etat : Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | The main objective of this book is to explore the early detection of Diabetic Retinopathy by accurately finding the presence of lesions like hard exudates and haemorrhages using novel image processing approach. This book investigates the severity level of Diabetic Retinopathy by detecting the presence of exudates. The input colour fundus images are preprocessed by a progressive Median filter and the exudates are segmented by applying hierarchical correlation clustering. Different features based on colour, brightness and dynamic shape are extracted. These feature vectors are applied as input to the Random Forest (RF) classifier. This classifier grade the severity of the disease as normal, moderate or severe based on the location of exudates with respect to the macula. This book also discusses an efficient localization of Optic Disc and macula by applying an image processing algorithm. The important anatomical structure, macula, is located with the help of Colour K-means segmentation algorithm. The detection of important symptom Haemorrhages in colour retinal images is also explained in this book. N° de réf. du vendeur 36033162/2
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Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
paperback. Etat : New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book. N° de réf. du vendeur ERICA82962005039156
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