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# tformfwd() - Image Processing

### Syntax

### Example

### Output / Return Value

### Limitations

### Alternatives / See Also

### Reference

[X, Y] = tformfwd(T, U, V) applies the 2D-to-2D spatial transformation defined in T to coordinate arrays U and V, mapping the point [U(k) V(k)] to the point [X(k) Y(k)].T is a TFORM struct created with maketform, fliptform, or cp2tform. Both T.ndims_in and T.ndims_out must equal 2. U and V are typically column vectors matching in length. In general, U and V can have any dimensionality, but must have the same size. In any case, X and Y will have the same size as U and V.[X1, X2, X3,...] = tformfwd(T, U1, U2, U3,...) applies the ndims_in-to-ndims_out spatial transformation defined in TFORM structure T to the coordinate arrays U1,U2,...,UNDIMS_IN (where NDIMS_IN = T.ndims_in and NDIMS_OUT = T.ndims_out). The number of output arguments must equal NDIMS_OUT. The transformation maps the point[U1(k) U2(k) ... UNDIMS_IN(k)]to the point[X1(k) X2(k) ... XNDIMS_OUT(k)].U1,U2,U3,... can have any dimensionality, but must be the same size.X1,X2,X3,... must have this size also.X = tformfwd(T, U) applies the ndims_in-to-ndims_out spatial transformation defined in TFORM structure T to each row of U, where U is an M-by-NDIMS_IN matrix. It maps the point U(k,:) to the point X(k,:). X is an M-by-NDIMS_OUT matrix.X = tformfwd(T, U), where U is an (N+1)-dimensional array, maps the point U(k1,k2,...,kN,:) to the point X(k1,k2,...,kN,:). size(U,N+1) must equal NDIMS_IN. X is an (N+1)-dimensional array, with size(X,I) equal to size(U,I) for I = 1,...,N and size(X,N+1) equal to NDIMS_OUT.[X1, X2, X3,...] = tformfwd(T, U) maps an (N+1)-dimensional array to NDIMS_OUT equally sized N-dimensional arrays.X = tformfwd(T, U1, U2, U3,...) maps NDIMS_IN N-dimensional arrays to one (N+1)-dimensional array.

[X, Y] = tformfwd(T, U, V)[X1, X2, X3,...] = tformfwd(T, U1, U2, U3,...)X = tformfwd(T, U)X = tformfwd(T, U)[X1, X2, X3,...] = tformfwd(T, U)X = tformfwd(T, U1, U2, U3,...)X = tformfwd(U,T)

[U1(k) U2(k) ... UNDIMS_IN(k)]