pinaki pratim acharjya (165 résultats)

Etat : New.

Etat : New. In.

Paperback. Etat : new. Paperback. La morphologie mathematique, en particulier la segmentation d'images basee sur l'algorithme des bassins versants, occupe une place importante au deuxieme niveau du traitement des images numeriques. Les images segmentees obtenues doivent etre adaptees aux machines informatiques pour un traitement ulterieur. Quelques algorithmes standard ont deja ete inventes et ont ete etablis sans aucun probleme apparent. Malgre la qualite de leurs etudes, il existe de nombreux domaines et sous-domaines qui ne sont apparemment pas exhaustifs et qui peuvent encore faire l'objet d'etudes ulterieures. Ce livre a pour but de mener des recherches sur ces aspects que les auteurs considerent comme inexplores. Tous ces aspects ont fait l'objet d'une etude theorique suivie d'experimentations basees sur des logiciels informatiques (MATLAB, differentes versions disponibles de temps a autre). Ces experiences ont ete realisees sur des images numeriques importees de bases de donnees standard ainsi que sur des images reelles. En outre, ce livre constitue une tentative sincere de combler les vides dans les ouvrages existants et de remplir ainsi les pieces vacantes dans la segmentation d'images basee sur la morphologie mathematique. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Etat : New.

Etat : New.

Etat : New.

Etat : New. In.

Paperback. Etat : new. Paperback. La morfologia matematica, in particolare la segmentazione delle immagini basata sull'algoritmo dello spartiacque, occupa un posto importante nel secondo livello di elaborazione delle immagini digitali. Le immagini segmentate in uscita devono essere adatte alle macchine informatiche per la successiva elaborazione. Sono gia stati inventati alcuni algoritmi standard che si sono affermati senza alcuna insidia apparente. Nonostante la qualita dei loro studi, ci sono molti ambiti e sottoaree che non sono apparentemente esaustivi e che potrebbero essere oggetto di ulteriori studi. Questo libro si propone di condurre studi di ricerca su questi aspetti che gli autori ritengono inesplorati. Tutti questi aspetti sono stati studiati teoricamente, seguiti da sperimentazioni basate su software (MATLAB, varie versioni disponibili di volta in volta). Le stesse sono state effettuate su immagini digitali importate da database standard e su immagini reali. Oltre a questo, il libro ha fatto un sincero tentativo di colmare i vuoti esistenti e quindi di riempire le stanze vuote nella segmentazione matematica delle immagini basata sulla morfologia. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Etat : new. Paperback. Die mathematische Morphologie, insbesondere die auf dem Watershed-Algorithmus basierende Bildsegmentierung, nimmt einen wichtigen Platz auf der zweiten Ebene der digitalen Bildverarbeitung ein. Die ausgegebenen segmentierten Bilder sollten fuer die Weiterverarbeitung durch die Computer geeignet und foerderlich sein. Es wurden bereits einige Standardalgorithmen entwickelt und etabliert, die keine offensichtlichen Schwachstellen aufweisen. Trotz der Qualitaet ihrer Studien gibt es viele Bereiche und Teilgebiete, die offensichtlich nicht erschoepfend sind und noch fuer weitere Studien uebrig bleiben. Das vorliegende Buch zielt darauf ab, diese von den Autoren als unerforscht empfundenen Aspekte zu erforschen. Alle diese Aspekte wurden theoretisch untersucht, gefolgt von Experimenten auf der Grundlage von Computersoftware (MATLAB in verschiedenen Versionen, die von Zeit zu Zeit verfuegbar sind). Die Experimente wurden mit digitalen Bildern durchgefuehrt, die aus Standarddatenbanken importiert wurden, sowie mit realen Bildern. Abgesehen davon hat das Buch einen aufrichtigen Versuch unternommen, indem es die Luecken in den existierenden Buechern fuellt und somit die leeren Raeume in der mathematisch-morphologisch basierten Bildsegmentierung ausfuellt. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Etat : new. Paperback. A morfologia matematica, especialmente a segmentacao de imagens com base no algoritmo watershed, ocupa um lugar importante no segundo nivel do processamento digital de imagens. As imagens segmentadas de saida devem ser adequadas e propicias as maquinas informaticas para processamento subsequente. Ja foram inventados e estabelecidos alguns algoritmos normalizados sem qualquer problema aparente. Apesar da qualidade dos seus estudos, ha muitos ambitos e subareas que aparentemente nao sao exaustivos e que podem ainda ser objeto de estudos futuros. Este livro tem como objetivo realizar estudos de investigacao sobre estes aspectos que os autores consideram inexplorados. Todos estes aspectos foram estudados teoricamente, seguidos de experiencias baseadas em software informatico (MATLAB, varias versoes disponiveis ao longo do tempo). As mesmas foram efectuadas em imagens digitais importadas de bases de dados padrao, bem como em imagens da vida real. Para alem disso, o livro fez uma tentativa sincera de preencher as lacunas existentes e, assim, preencher os espacos vazios na segmentacao matematica de imagens baseada na morfologia. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Etat : New.

Etat : New.

Etat : New.

Paperback. Etat : new. Paperback. Mathematical morphology especially watershed algorithm based image segmentation has been found to occupy an important place in the second level of digital image processing. The output segmented images should be suitable and conducive to the computer machines for subsequent processing. Already a few standard algorithms have been invented and have been established without any apparent pitfall in them. In spite of the quality of their studies, there are a lot of scopes and subareas which are apparently non exhaustive and may still left for further studies. This book aims at to carry out research studies on these aspects which are felt by the authors unexplored. All these aspects have been studied theoretically followed by computer software (MATLAB various versions available from time to time) based experimentations. The same have been carried out on the digital images imported from standard databases as well as real life images. Apart from this, the book has placed a sincere attempt by filling of the voids in the existing ones and thus fills up the vacant rooms in mathematical morphological based image segmentation. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Etat : New.

Kartoniert / Broschiert. Etat : New.

Taschenbuch. Etat : Neu. Neuware -Edge detection is very important terminology in image processing and for computer vision. Edge detection is in the forefront of image processing for object detection, so it is crucial to have a good understanding of edge detection operators. An improved scheme for contour detection with better performance measure has been proposed in this book with the help of image gradients. A 9x9 Laplacian and Gaussian (LOG) filter has been proposed. The present study has shown that the gradient images obtained by the 9x9 Laplacian and Gaussian (LOG) mask appears to be much clearer with sharp and prominent edges than those obtained through 5x5 Laplacian and Gaussian (LOG) filter and also provides better results than traditional edge detectors. The method has been applied to a number of real life digital images and better performance measure of contour detection has been achieved. Comparative analyses of different edge detection operators in image processing are also presented and discussed. It has been observed that the performance of canny edge detection operator is much better then Sobel, Roberts, Prewitt and Laplacian of Gaussian (LoG) in respect to the image appearance and object boundary.Books on Demand GmbH, Überseering 33, 22297 Hamburg 64 pp. Englisch.

Taschenbuch. Etat : Neu. Neuware -This book introduces some research studies with watershed algorithm using distance transform for image segmentation and edge detection. The uses of the proposed techniques make the present approaches much efficient for image segmentation and edge detection in a variety of practical situations. The performances of the proposed approaches are compared with existing watershed approach for image segmentation task. The methods perform best when the objects of interest in the image are well defined, with strong edges with uniform background and in such cases, can be electively used as a replacement of classical image segmentation algorithms. The studies that have been made in this book also deal with the problems of over-segmentation.Books on Demand GmbH, Überseering 33, 22297 Hamburg 88 pp. Englisch.

Taschenbuch. Etat : Neu. Neuware Books on Demand GmbH, Überseering 33, 22297 Hamburg 88 pp. Englisch.

Etat : New.

Etat : New.

Taschenbuch. Etat : Neu. Neuware -Image segmentation is one of the most commonly used techniques in digital image processing. In image segmentation edge detection of an image reduces significantly the amount of data and filters out information that may be regarded as less relevant, preserving the important Structuring properties of an image. In recent days new edge detection algorithms are published each year and among these, watershed algorithm which is inherently based on mathematical morphology is an accepted one. In watershed algorithm, structuring elements plays a very unique role. The basic philosophy of using the structuring element in mathematical morphological operation lies in the fact that it serve as a seed or needle to collect the image information. In this book concept of image segmentation and edge detection is presented with morphological operations and mathematical morphology based watershed algorithm using twelve new and proposed arbitrary structuring elements and morphological smoothing operation to reduce the over segmentation problem has been proposed and accordingly their performances are compared and discussed.Books on Demand GmbH, Überseering 33, 22297 Hamburg 96 pp. Englisch.

Etat : New.

Etat : New. In.

Etat : New. In.

Etat : New. In.

Etat : New.

Paperback. Etat : new. Paperback. La morphologie mathematique, en particulier la segmentation d'images basee sur l'algorithme des bassins versants, occupe une place importante au deuxieme niveau du traitement des images numeriques. Les images segmentees obtenues doivent etre adaptees aux machines informatiques pour un traitement ulterieur. Quelques algorithmes standard ont deja ete inventes et ont ete etablis sans aucun probleme apparent. Malgre la qualite de leurs etudes, il existe de nombreux domaines et sous-domaines qui ne sont apparemment pas exhaustifs et qui peuvent encore faire l'objet d'etudes ulterieures. Ce livre a pour but de mener des recherches sur ces aspects que les auteurs considerent comme inexplores. Tous ces aspects ont fait l'objet d'une etude theorique suivie d'experimentations basees sur des logiciels informatiques (MATLAB, differentes versions disponibles de temps a autre). Ces experiences ont ete realisees sur des images numeriques importees de bases de donnees standard ainsi que sur des images reelles. En outre, ce livre constitue une tentative sincere de combler les vides dans les ouvrages existants et de remplir ainsi les pieces vacantes dans la segmentation d'images basee sur la morphologie mathematique. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Etat : New.

Taschenbuch. Etat : Neu. Neuware -La detección de bordes es una terminología muy importante en el procesamiento de imágenes y en la visión por ordenador. La detección de bordes está en la vanguardia del procesamiento de imágenes para la detección de objetos, por lo que es crucial tener una buena comprensión de los operadores de detección de bordes. En este libro se ha propuesto un esquema mejorado para la detección de contornos con una mejor medida de rendimiento con la ayuda de los gradientes de la imagen. Se ha propuesto un filtro Laplaciano y Gaussiano (LOG) de 9x9. El presente estudio ha demostrado que las imágenes de gradiente obtenidas mediante la máscara laplaciana y gaussiana (LOG) de 9x9 parecen ser mucho más claras con bordes nítidos y prominentes que las obtenidas mediante el filtro laplaciano y gaussiano (LOG) de 5x5 y también proporciona mejores resultados que los detectores de bordes tradicionales. El método se ha aplicado a una serie de imágenes digitales de la vida real y se ha conseguido una mejor medida de rendimiento en la detección de contornos. También se presentan y discuten análisis comparativos de diferentes operadores de detección de bordes en el procesamiento de imágenes. Se ha observado que el rendimiento del operador de detección de bordes canny es mucho mejor que el de Sobel, Roberts, Prewitt y el laplaciano de Gauss (LoG) con respecto a la apariencia de la imagen y el límite del objeto.Books on Demand GmbH, Überseering 33, 22297 Hamburg 60 pp. Spanisch.