pixelType = 0:7
pixelTypes = data.frame(
pixelType = setNames(nm=vapply(pixelType, FormatTools$getPixelTypeString, character(1L))),
bytesPerPixel = vapply(pixelType, FormatTools$getBytesPerPixel, integer(1L)),
isSigned = vapply(pixelType, FormatTools$isSigned, logical(1L)),
isFloatingPoint = vapply(pixelType, FormatTools$isFloatingPoint, logical(1L)),
stringsAsFactors = FALSE
)
## generates a 16x16 test gradient with two first pixels containing the min and
## max values corresponding to the specified pixelType
testImage = function(pixelType, ...) {
pixelType = pixelTypes[pixelType,]
n = 256^pixelType$bytesPerPixel
minVal = ifelse(pixelType$isSigned & !pixelType$isFloatingPoint, -n/2, 0)
maxVal = minVal + n - 1
minSeq = if (pixelType$isSigned) -128 else 0
values = c(minVal, maxVal, seq_len(254L) + minSeq)
mode = if (isTRUE(pixelType$bytesPerPixel <= 2)) "integer" else "double"
storage.mode(values) = mode
matrix(values, 16L, 16L)
}
## convience function which returns the result of reading a mockFile
mockImage = function(sizeX=16, sizeY=16, ..., normalize=FALSE) {
read.image(mockFile(sizeX=sizeX, sizeY=sizeY, ...), normalize=normalize)
}
tempimg = function() tempfile('', , '.ome.tif')
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