The paper presents examinations of the surface of base concrete with a 3D scanner. Two base concrete surfaces, differently prepared, were examined, together with two measurement strategies: simple and fast 3D scanning and partial scanning in selected areas corresponding to the device measurement space. In order to complete the analysis of a concrete surface topography an original Matlab-based program TAS (Topography Analysis and Simulation) was developed for both 2D and 3D surface analyses. It enables data processing, calculation of parameters, data visualization and digital filtration.
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.