Fusion of two matrices or arrays
C = wfusmat(A,B,METHOD)
C = wfusmat(A,B,METHOD) returns the fused
matrix C obtained from the matrices A and B using
the fusion method defined by METHOD.
The matrices A and B must
be of the same size. The output matrix C is of
the same size as A and B.
Available fusion methods are
Simple, where METHOD is
'max' : D = abs(A) ≥ abs(B)
; C = A(D) + B(~D)
'min' : D = abs(A) ≤ abs(B)
; C = A(D) + B(~D)
'mean' : C = (A+B) / 2
; D = ones(size(A))
'rand' : C = A(D) + B(~D); D is
a Boolean random matrix
'img1' : C = A
'img2' : C = B
Parameter-dependent, where METHOD is of the following form:
METHOD = struct('name',nameMETH,'param',paramMETH)
where nameMETH can be
'linear' : C = A*paramMETH
+ B*(1-paramMETH),
where 0 ≤ paramMETH ≤ 1
'UD_fusion': Up-down fusion, with paramMETH ≥
0
x = linspace(0,1,size(A,1)); P = x.^paramMETH;
Then each row of C is computed with
C(i,:) = A(i,:)*(1-P(i)) + B(i,:)*P(i); So C(1,:) = A(1,:) and C(end,:) = B(end,:)
'DU_fusion': Down-up fusion
'LR_fusion': Left-right fusion
(column-wise fusion)
'RL_fusion': Right-left fusion
(column-wise fusion)
'UserDEF': User-defined fusion,
paramMETH is a character vector or string scalar
'userFUNCTION' containing a function name such
that C = userFUNCTION(A,B).
In addition, [C,D] = wfusmat(A,B,METHOD) returns
the Boolean matrix D when defined, or an empty
matrix otherwise.