matlab Hough
时间: 2023-11-19 21:52:41 浏览: 29
Hough变换是数字图像处理中的一种特征提取技术,常用于判断图像中哪些点共线可以检测直线,也可以检测圆或椭圆。在MATLAB中,可以使用Hough函数进行Hough变换,该函数可以将图像中的边缘点转换为Hough空间中的曲线,从而实现对直线、圆或椭圆等形状的检测。同时,MATLAB还提供了其他相关的函数和工具箱,如houghlines、houghpeaks和vision.HoughTransform等,可以帮助用户更方便地进行Hough变换和边缘检测等操作。除此之外,Hough变换还可以应用于许多领域,如计算机视觉、图像处理、模式识别等。
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matlab hough
MATLAB中的Hough函数用于进行霍夫变换,可以用来进行边缘检测、直线检测以及圆或椭圆检测。Hough变换是一种常用的特征提取技术,可以用来判断图像中哪些点共线。在Hough变换中,通过将变量空间(x-y空间)转换为参数空间(k-b空间),可以进行直线检测。MATLAB提供了Hough函数来实现这个过程。您可以参考MATLAB官方网站提供的Hough函数使用指南(引用)以及Hough变换的数学理解(引用)了解更多关于MATLAB中Hough函数的详细信息和使用方法。
MATLAB hough
The Hough transform is a popular feature extraction technique used in computer vision and image processing. It is used to detect straight lines, circles, and other simple shapes in an image.
MATLAB provides a built-in function called "hough" to perform the Hough transform on an image. The syntax of the function is as follows:
[H,theta,rho] = hough(BW)
where BW is the binary image on which the Hough transform is to be performed. The function returns the Hough transform matrix H, the vector of theta values (angle of the detected lines), and the vector of rho values (distance from the origin to the detected lines).
Once the Hough transform matrix is obtained, it can be used to detect lines in the image using the "houghlines" function. This function takes the Hough transform matrix, theta, and rho values as input and returns the parameters of the detected lines.
Similarly, the Hough transform can also be used to detect circles using the "houghcircles" function in MATLAB. This function takes the Hough transform matrix, the radius range, and other parameters as input and returns the parameters of the detected circles.
Overall, the Hough transform is a powerful tool in MATLAB for detecting simple shapes in images and has a wide range of applications in computer vision and image processing.