| 書目名稱 | Shape Detection in Computer Vision Using the Hough Transform | | 編輯 | V. F. Leavers | | 視頻video | http://file.papertrans.cn/867/866350/866350.mp4 | | 圖書封面 |  | | 描述 | 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. . | | 出版日期 | Textbook 1992 | | 關(guān)鍵詞 | Hough transform; Radon transform; Shape Detection; algorithms; computer vision; object recognition | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4471-1940-1 | | isbn_softcover | 978-3-540-19723-2 | | isbn_ebook | 978-1-4471-1940-1 | | copyright | Springer-Verlag London Limited 1992 |
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