Present paper is a continuation of works on evaluation of red,
green, blue (RGB) to hue, saturation, intensity (HSI) colour space transformation
in regard to digital image processing application in optical measurements
methods. HSI colour space seems to be the most suitable domain
for engineering applications due to its immunity to non-uniform lightning.
Previous stages referred to the analysis of various RGB to HSI colour space
transformations equivalence and programming platform configuration influence
on the algorithms execution. The main purpose of this step is to
understand the influence of computer processor architecture on the computing
time, since analysis of images requires considerable computer resources.
The technical development of computer components is very fast and selection
of particular processor architecture can be an advantage for fastening
the image analysis and then the measurements results. In this paper the
colour space transformation algorithms, their complexity and execution time
are discussed. The most common algorithms were compared with the authors
own one. Computing time was considered as the main criterion taking
into account a technical advancement of two computer processor architectures.
It was shown that proposed algorithm was characterized by shorter
execution time than in reported previously results.
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