Artículos relacionados a Advances in Pattern Recognition - ICAPR 2001: Second...
Advances in Pattern Recognition - ICAPR 2001: Second International Conference Rio de Janeiro, Brazil, March 11-14, 2001 Proceedings (Lecture Notes in Computer Science): 2013 - Tapa blanda
Sinopsis
This book constitutes the refereed proceedings of the Second International Conference on Advances in Pattern Recognition, ICAPR 2001, held in Rio de Janeiro, Brazil in March 2001. The 40 revised full papers presented together with three invited papers and two tutorial presentations were carefully reviewed and selected for inclusion in the proceedings. The book is organized in topical sections on neural networks and computational intelligence, character recognition and document analysis, feature selection and analysis, pattern recognition and classification, image and signal processing applications, and image feature analysis and retrieval.
"Sinopsis" puede pertenecer a otra edición de este libro.
Reseña del editor
The paper is organized as follows: In section 2, we describe the no- orientation-discontinuity interfering model based on a Gaussian stochastic model in analyzing the properties of the interfering strokes. In section 3, we describe the improved canny edge detector with an ed- orientation constraint to detect the edges and recover the weak ones of the foreground words and characters; In section 4, we illustrate, discuss and evaluate the experimental results of the proposed method, demonstrating that our algorithm significantly improves the segmentation quality; Section 5 concludes this paper. 2. The norm-orientation-discontinuity interfering stroke model Figure 2 shows three typical samples of original image segments from the original documents and their magnitude of the detected edges respectively. The magnitude of the gradient is converted into the gray level value. The darker the edge is, the larger is the gradient magnitude. It is obvious that the topmost strong edges correspond to foreground edges. It should be noted that, while usually, the foreground writing appears darker than the background image, as shown in sample image Figure 2(a), there are cases where the foreground and background have similar intensities as shown in Figure 2(b), or worst still, the background is more prominent than the foreground as in Figure 2(c). So using only the intensity value is not enough to differentiate the foreground from the background. (a) (b) (c) (d) (e) (f)
Reseña del editor
This book constitutes the refereed proceedings of the Second International Conference on Advances in Pattern Recognition, ICAPR 2001, held in Rio de Janeiro, Brazil in March 2001.
The 40 revised full papers presented together with three invited papers and two tutorial presentations were carefully reviewed and selected for inclusion in the proceedings. The book is organized in topical sections on neural networks and computational intelligence, character recognition and document analysis, feature selection and analysis, pattern recognition and classification, image and signal processing applications, and image feature analysis and retrieval.
"Sobre este título" puede pertenecer a otra edición de este libro.
EUR 25,53
EUR 63,53 gastos de envío desde Estados Unidos de America a España
Destinos, gastos y plazos de envíoComprar nuevo
Ver este artículo
EUR 53,49
EUR 11,00 gastos de envío desde Alemania a España
Destinos, gastos y plazos de envíoResultados de la búsqueda para Advances in Pattern Recognition - ICAPR 2001: Second...
Imagen del vendedor
Advances in Pattern Recognition - ICAPR 2001
Publicado por
Springer Berlin Heidelberg Feb 2001, 2001
ISBN 10: 3540417672
ISBN 13: 9783540417675
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The paper is organized as follows: In section 2, we describe the no- orientation-discontinuity interfering model based on a Gaussian stochastic model in analyzing the properties of the interfering strokes. In section 3, we describe the improved canny edge detector with an ed- orientation constraint to detect the edges and recover the weak ones of the foreground words and characters; In section 4, we illustrate, discuss and evaluate the experimental results of the proposed method, demonstrating that our algorithm significantly improves the segmentation quality; Section 5 concludes this paper. 2. The norm-orientation-discontinuity interfering stroke model Figure 2 shows three typical samples of original image segments from the original documents and their magnitude of the detected edges respectively. The magnitude of the gradient is converted into the gray level value. The darker the edge is, the larger is the gradient magnitude. It is obvious that the topmost strong edges correspond to foreground edges. It should be noted that, while usually, the foreground writing appears darker than the background image, as shown in sample image Figure 2(a), there are cases where the foreground and background have similar intensities as shown in Figure 2(b), or worst still, the background is more prominent than the foreground as in Figure 2(c). So using only the intensity value is not enough to differentiate the foreground from the background. (a) (b) (c) (d) (e) (f) 496 pp. Englisch. Nº de ref. del artículo: 9783540417675
Cantidad disponible: 2 disponibles
Imagen del vendedor
Advances in Pattern Recognition - ICAPR 2001 : Second International Conference Rio de Janeiro, Brazil, March 11-14, 2001 Proceedings
Publicado por
Springer Berlin Heidelberg, 2001
ISBN 10: 3540417672
ISBN 13: 9783540417675
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - The paper is organized as follows: In section 2, we describe the no- orientation-discontinuity interfering model based on a Gaussian stochastic model in analyzing the properties of the interfering strokes. In section 3, we describe the improved canny edge detector with an ed- orientation constraint to detect the edges and recover the weak ones of the foreground words and characters; In section 4, we illustrate, discuss and evaluate the experimental results of the proposed method, demonstrating that our algorithm significantly improves the segmentation quality; Section 5 concludes this paper. 2. The norm-orientation-discontinuity interfering stroke model Figure 2 shows three typical samples of original image segments from the original documents and their magnitude of the detected edges respectively. The magnitude of the gradient is converted into the gray level value. The darker the edge is, the larger is the gradient magnitude. It is obvious that the topmost strong edges correspond to foreground edges. It should be noted that, while usually, the foreground writing appears darker than the background image, as shown in sample image Figure 2(a), there are cases where the foreground and background have similar intensities as shown in Figure 2(b), or worst still, the background is more prominent than the foreground as in Figure 2(c). So using only the intensity value is not enough to differentiate the foreground from the background. (a) (b) (c) (d) (e) (f). Nº de ref. del artículo: 9783540417675
Cantidad disponible: 1 disponibles
Imagen de archivo
Advances in Pattern Recognition - ICAPR 2001: Second International Conference Rio de Janeiro, Brazil, March 11-14, 2001 Proceedings (Lecture Notes in Computer Science, 2013)
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: New. In. Nº de ref. del artículo: ria9783540417675_new
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Advances in Pattern Recognition - ICAPR 2001
Publicado por
Springer Berlin Heidelberg, 2001
ISBN 10: 3540417672
ISBN 13: 9783540417675
Nuevo
Tapa blanda
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The paper is organized as follows: In section 2, we describe the no- orientation-discontinuity interfering model based on a Gaussian stochastic model in analyzing the properties of the interfering strokes. In section 3, we describe the improved canny edge d. Nº de ref. del artículo: 4889429
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Advances in Pattern Recognition - ICAPR 2001
Publicado por
Springer Berlin Heidelberg, Springer Berlin Heidelberg Feb 2001, 2001
ISBN 10: 3540417672
ISBN 13: 9783540417675
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware -The paper is organized as follows: In section 2, we describe the no- orientation-discontinuity interfering model based on a Gaussian stochastic model in analyzing the properties of the interfering strokes. In section 3, we describe the improved canny edge detector with an ed- orientation constraint to detect the edges and recover the weak ones of the foreground words and characters; In section 4, we illustrate, discuss and evaluate the experimental results of the proposed method, demonstrating that our algorithm significantly improves the segmentation quality; Section 5 concludes this paper. 2. The norm-orientation-discontinuity interfering stroke model Figure 2 shows three typical samples of original image segments from the original documents and their magnitude of the detected edges respectively. The magnitude of the gradient is converted into the gray level value. The darker the edge is, the larger is the gradient magnitude. It is obvious that the topmost strong edges correspond to foreground edges. It should be noted that, while usually, the foreground writing appears darker than the background image, as shown in sample image Figure 2(a), there are cases where the foreground and background have similar intensities as shown in Figure 2(b), or worst still, the background is more prominent than the foreground as in Figure 2(c). So using only the intensity value is not enough to differentiate the foreground from the background. (a) (b) (c) (d) (e) (f)Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 496 pp. Englisch. Nº de ref. del artículo: 9783540417675
Cantidad disponible: 2 disponibles
Imagen de archivo
Advances in Pattern Recognition - ICAPR 2001: Second International Conference Rio de Janeiro, Brazil, March 11-14, 2001 Proceedings (Lecture Notes in Computer Science)
Librería: GuthrieBooks, Spring Branch, TX, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: Very Good. Ex-library paperback in very nice condition with the usual markings and attachments. Nº de ref. del artículo: UTD1422881
Cantidad disponible: 1 disponibles
Imagen de archivo
Advances in Pattern Recognition: Icapr 2001 : Second International Conference, Rio De Janeiro, Brazil, March 11-14, 2001 : Proceedings
Librería: Revaluation Books, Exeter, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: Brand New. 1st edition. 476 pages. 9.50x6.25x1.00 inches. In Stock. Nº de ref. del artículo: x-3540417672
Cantidad disponible: 2 disponibles
Imagen de archivo
Advances in Pattern Recognition - ICAPR 2001 : Second International Conference Rio de Janeiro, Brazil, March 11-14, 2001 Proceedings
Librería: Chiron Media, Wallingford, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
PF. Condición: New. Nº de ref. del artículo: 6666-IUK-9783540417675
Cantidad disponible: 10 disponibles
Imagen de archivo
Advances in Pattern Recognition - ICAPR 2001: Second International Conference Rio de Janeiro, Brazil, March 11-14, 2001 Proceedings (Lecture Notes in Computer Science, 2013)
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: ABLIING23Mar3113020166757
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
Advances in Pattern Recognition - ICAPR 2001: Second International Conference Rio de Janeiro, Brazil, March 11-14, 2001 Proceedings (Lecture Notes in . (Lecture Notes in Computer Science (2013))
Librería: Mispah books, Redhill, SURRE, Reino Unido
Calificación del vendedor: 4 de 5 estrellas
Paperback. Condición: Like New. Like New. book. Nº de ref. del artículo: ERICA77335404176726
Cantidad disponible: 1 disponibles