英语翻译For the convenient measurement means and the character without touching the measured object of the computer vision technique,it has got great attention,and has been applied in more and more fields,such as the dimension detection,space ori

英语翻译For the convenient measurement means and the character without touching the measured object of the computer vision technique,it has got great attention,and has been applied in more and more fields,such as the dimension detection,space ori
英语翻译
For the convenient measurement means and the character without touching the measured object of the computer vision technique,it has got great attention,and has been applied in more and more fields,such as the dimension detection,space orientation and speed measurement,and so on.Circle target is often used in the computer vision detection as the feature target because of its good and simple geometrical feature.The accurate detection of the circle target is an essential and key process in the computer vision detection.So scientists have spent a great deal of time on this research and proposed a lnt of algotithm ahout the circle object detection for the past years.The circle detection method based on Hough Transform has been used more and more widely in recent year since it possesses the high reliability and the strong anti-noise ability.
The Hough Transform principle is to transform the image coordinate of the image space to the parameter of the parameter space,and apply these edge points which accord with certain parameter format to describe the curve's region boundary.By setting up a parameter accumulation to accumulate those points with the same parameter value,we can acquire the parameter value that most points have,which is what we want.
The Hough Transform (HT) is a standard method for shape recognition in digital images [1,2].It was first applied to the recognition of straight lines [3,4] and later extended to circles [5],ellipses [6] and arbitrarily shaped objects [7].The circle Hough Transform method in the [5] proposed by Davies is applied widely in the circle object detection because it is able to complete the detection task under the noise,distortion condition.But the traditional circle Hough transform needs 3-dimension parameter space,so the process of the computing costs a lot of time and very large computer memory.A lot of research has been carried out in effort to look for an effective and convenient Hough Transform circle detection technique.In [8],Davies made use of the circle objectgeometrical feature that the line passes the center of a circle if the straight line is vertical to the tangent of the point on the circle boundary to detect this circle object.But the detection is susceptible to noise since the gradient direction's accuracy is often not high.Sun proposed a circle Hough Transform detectionmethod in [9] by utilizing the circle geometrical character that the center of a circle is the intersectant point of the two hypotenuses of two right-angled triangles on the circle boundary,however it needs to spend some time to compute the intersectant point of the two hypotenuses.In this paper,we propose an effective and convenient circle detection method based on Hough Transform.The method fully utilizes the circle target's geometrical feature to avoid computing the intersectant point of the two hypotenuses.

英语翻译For the convenient measurement means and the character without touching the measured object of the computer vision technique,it has got great attention,and has been applied in more and more fields,such as the dimension detection,space ori
为方便测量手段和性质没有触及被测物体的电脑视觉技术,它已得到高度重视,已适用于越来越多的领域,如尺寸检测,空间的方向和速度的测量,等等.循环的目标是常用的,在计算机视觉检测为特征的目标,由于其良好的和简单的几何特征.准确的检测圈的目标,是一个重要和关键的过程中的计算机视觉检测.因此,科学家们花了大量的时间对这项研究并提出了lnt的算法ahout的圈子,检测对象为过去数年.圆检测方法基于Hough变换已使用了更多的和更广泛地在最近一年以来,它具有高可靠性和强大的抗噪能力.
Hough变换的原则是变换的图像坐标的形象空间,以参数的参数空间,适用于这些边缘点,其中符合某些参数格式来描述曲线的边界地区.成立一个参数的积累,积累这些论点具有相同参数值,我们可以取得参数值,大多数点,这是我们想要的.
Hough变换（羟色胺）是一种标准的方法形状识别在数字图像[ 1,2 ] .这是首次应用到识别直线[ 3,4 ]和后来扩大到各界[ 5 ] ,省略号[ 6 ]和任意形状的物体[ 7 ] .圆Hough变换方法,在[ 5 ]所提出的戴维斯是广泛应用在圆圈目标检测,因为它是能够完成的检测任务,根据噪音,失真的状况.但传统的圆Hough变换的需要,3维参数空间,所以过程中的计算成本了大量的时间和非常大的电脑记忆体.大量的研究,已进行了在努力寻找一个有效和方便的Hough变换圆检测技术.在[ 8 ] ,戴维斯利用圆圈objectgeometrical功能线通过圆心,如果直线是垂直的正切点上的圆圈边界检测此圆圈对象.但检测是容易受到噪音以来梯度方向的准确性往往不高.孙提出了一个圈Hough变换detectionmethod在[ 9 ]利用循环几何特征,该圆心是intersectant点两个hypotenuses两权直角的三角形就圆边界,但它需要花一些时间来计算intersectant点两个hypotenuses .在本文中,我们提出一个有效和方便的循环检测方法基于Hough变换.该方法充分利用了循环目标的几何特征,以避免计算intersectant点两个hypotenuses .