一种基于霍夫变换的直线和圆快速检测新方法

Huashan Ye, G. Shang, Lina Wang, Min Zheng
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引用次数: 43

摘要

霍夫变换(Hough transform, HT)是从图像中检测或分割几何目标的一种典型方法。本文研究了霍夫变换的基本原理及其数学表达式,并尝试了一种基于霍夫变换的图像快速线圆检测方法。我们的方法可以准确地检测出一些简单的图形,如不同方向的直线、不同检测的圆、不同厚度和不同数量。实验结果表明,该方法占用内存少,计算速度快,可用于三维超声图像的直线检测和分割。
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A new method based on hough transform for quick line and circle detection
Hough transform (HT) is a typical method to detect or segment geometry objects from images. In this paper, we study the principle of Hough Transform and its mathematical expressions, and try to use a new approach based on Hough transform for quick line and circle detection in image processing. Our method accurately detected some simple graphics, such as straight line of different direction, circles of different detection, thickness and different number. The results show that our method is less memory consumption and calculated fast, which could be applied for line detection and segmentation in 3D ultrasonic image.
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