[英]Convert X,Y floating point coordinates to binary matrix and then perform a Hough line transform
Your example in MATLAB only works on integer (x,y) coordinates. 您在MATLAB中的示例仅适用于整数(x,y)坐标。
For example 例如
% I use a 10x10 identity matrix to simulate a line of points
% And scale the resulting x, y coordinates to be floating point
[X, Y] = find(eye(10));
X = X * 0.1;
Y = Y * 0.1;
A = full(sparse(X, Y, true));
Throws the error 引发错误
Error using sparse.
使用稀疏时出错。 Index into matrix must be an integer.
矩阵索引必须是整数。
If you want to convert floating point coordinates into a binary matrix, the only way I know of is to decimate your space. 如果要将浮点坐标转换为二进制矩阵,我知道的唯一方法是减少空间。
% Precision of the decimated grid
scale = .01;
% Scale the X, Y values to be integers greater than 1
row_indices = round((Y - min(Y))/scale) + 1;
col_indices = round((X - min(X))/scale) + 1;
% row values also need to be flipped
% i.e. y = 0 should be the maximum row in the matrix to maintain the same orientation of the coordinate system
row_indices = max(row_indices) - row_indices + 1;
% Create matrix using your method
A = full(sparse(row_indices, col_indices, true));
% Each row and column in A corresponds to the value in these range vectors
xrange = min(X):scale:max(X);
yrange = max(Y):-scale:min(Y);
To test whether these transformations produced the desired result. 测试这些转换是否产生了预期的结果。 I plotted the matrix.
我画了矩阵。
figure;
subplot(1,2,1); imagesc(A);
xticks(1:20:100); xticklabels(xrange(1:20:end));
yticks(1:20:100); yticklabels(yrange(1:20:end));
subplot(1,2,2); plot(X, Y, 'ko');
And it's looking good. 而且看起来不错。
A similar approach should be easy to implement using numpy. 使用numpy可以轻松实现类似的方法。
声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.