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compute similarity metric between two images as image is rotated about its center w/or w/o optimization
invariantImageSimilarity(in_image1, in_image2, thetas, localSearchIterations = 0, metric = "MI", scaleImage = 1, doReflection = 0, txfn = "")
reference image
moving image
numeric vector of search angles
integer controlling local search in multistart
which metric MI or GC (string)
global scale
reflect image about principal axis
if present, write optimal tx to .mat file
vector of similarity values
# NOT RUN { fi<-antsImageRead( getANTsRData("r16")) mi<-antsImageRead( getANTsRData("r64")) mival<-invariantImageSimilarity( fi, mi, c(0,10,20) ) # }
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