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Shape Detection in Computer Vision Using the Hough Transform

Name: Shape Detection in Computer Vision Using the Hough Transform
Brand: Springer, Berlin
SKU: 9783540197232
Price: 19305 HUF
Availability: InStock

Szerző: Violet F. Leavers

Nyelv:

Kötés: Puha kötésű

Kiadó: Springer, Berlin

Elérhetőség: Beszállítói készleten

Küldés 8-11 napon belül

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Shape detection techniques are an important aspect of computer vision and are used to transform raw...

Információk a könyvről

Szerző

Violet F. Leavers

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

1992

oldal

201

EAN

9783540197232

ISBN

3540197230

Enbook ID

06807599

Kiadó

Springer, Berlin

Súly

366

Méretek

170 x 242 x 12

Teljes leírás

Shape detection techniques are an important aspect of computer vision and are used to transform raw image data into the symbolic representations needed for object recognition and location. However, the availability and application of research data relating to shape detection has traditionally been limited by a lack of computational and mathematical skill on the part of the intended end-user. As a result progress in areas such as the automation of visual inspection techniques, where shape detection couls play a pivotal role, has been relatively slow. In this volume, Violet Leavers, an established author and researcher in the field, examines the Hough Transform, a technique which is particularly relevant to industrial applications. By making computational recipes and advice available to the non-specialist, the book aims to popularize the technique, and to provide a bridge between low level computer vision tasks and specialist applications. §In addition Shape Detection in Computer Vision Using the Hough Transform assesses practical and theoretical issues which were previously only available in scientific literature in a way which is easily accessible to the non-specialist user. Shape Detection in Computer Vision Using the Hough Transform fills an obvious gap in the existing market. It is an important textbook which will provide postgraduate students with a thorough grounding in the field, and will also be of interest to junior research staff and program designers.