public class GlobalHistogramBinarizer
This Binarizer implementation uses the old ZXing global histogram approach. It is suitable
for low-end mobile devices which don't have enough CPU or memory to use a local thresholding
algorithm. However, because it picks a global black point, it cannot handle difficult shadows
Faster mobile devices and all desktop applications should probably use HybridBinarizer instead.
Converts one row of luminance data to 1 bit data. May actually do the conversion, or return
cached data. Callers should assume this method is expensive and call it as seldom as possible.
This method is intended for decoding 1D barcodes and may choose to apply sharpening.
For callers which only examine one row of pixels at a time, the same BitArray should be reused
and passed in with each call for performance. However it is legal to keep more than one row
at a time if needed.
Converts a 2D array of luminance data to 1 bit data. As above, assume this method is expensive
and do not call it repeatedly. This method is intended for decoding 2D barcodes and may or
may not apply sharpening. Therefore, a row from this matrix may not be identical to one
fetched using getBlackRow(), so don't mix and match between them.
Creates a new object with the same type as this Binarizer implementation, but with pristine
state. This is needed because Binarizer implementations may be stateful, e.g. keeping a cache
of 1 bit data. See Effective Java for why we can't use Java's clone() method.