The function hough.m is based on the function htl.m in the Time-Frequency Toolbox but the origin of the coordinates is different. Hough.m is a bit faster. In hough.m real coordinates are used. The time t (y in Hough Transform) is between 0 and 1, so theta is around 90 and rho around 0. I would appreciate any suggestions and questions! They would be very helpful to me. Thank you!
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Kami (2026). Wigner-Hough Transform (https://ww2.mathworks.cn/matlabcentral/fileexchange/42698-wigner-hough-transform), MATLAB Central File Exchange. 检索时间: .
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- Signal Processing > Signal Processing Toolbox > Transforms, Correlation, and Modeling > Transforms > Discrete Fourier and Cosine Transforms >
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