matlab hough

MATLAB中的hough函数是用于霍夫变换的工具函数。霍夫变换是一种常用的特征提取技术，用于检测图像中的直线、圆或椭圆等形状。通过hough函数，可以将图像中的点从x-y变量空间转换到k-b参数空间，从而实现直线的检测和定位。找到相交曲线数最多的一个点后，可以得到该点对应的（ρ，θ）值，以及直线的起始和终止点坐标。

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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.

matlab Hough

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。