利用主线去除形态霍夫变换进行快速线检测

Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02. Pub Date : 2002-11-18 DOI:10.1109/ICONIP.2002.1199052

Leo Chin Sim, H. Schroder, G. Leedham

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引用次数: 4

摘要

本文描述了一种新型的线去除霍夫变换在一种新的并行体系结构系统上的实现，这种系统被称为混合系统。该算法用于检测图像中的线条，将主要线条剥离，以便更容易检测到次要线条。该算法随后在混合系统上实现。混合系统是SIMD和MIMD系统并行处理数据的组合。在本文中，我们还引入了一个新的SIMD概念。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Fast line detection using major line removal morphological Hough transform

This paper describes an implementation of a novel line removal Hough transform on a new parallel architectural system, referred to as a hybrid system. The algorithm, which is used for detecting lines in an image, strips away major line so that minor lines can be more easily detectable. The algorithm was subsequently implemented on the hybrid system. A hybrid system is a combination of SIMD and MIMD system processing the data in parallel. In this paper, we also introduce a new SIMD concept.

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Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02.

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