## 1 Introduction  
Surface texture, which can be in many forms (i.e., tiny scratches, grooved structures produced by machining, etc. ), is gradually gaining greater magnitude in the field of surface engineering [1]. Laser profilometry is one of the most recently developed approaches for surface roughness measurements, whilst pulsed thermography was used with the intention of associating the influence of surface roughness with thermal radiometry [2]. Interrupted laser microscopy and profilometry measurements of the friction surface show four evolution stages of the powder boundary layer development: localized formation, complete formation, local spalling, and large scuffing of the boundary layer [3]. The surface-emergent relief is not only the bearer of individual pieces of information, but also an image of the technology used to create it in the first place [4; 5]. By evaluating the roughness parameters, it is possible to predict the sequence of operations required to achieve the desired surface quality and also to optimize the process of its creation [6]. Surface roughness is a parameter that often crops up in metal working processes. It is one of many factors that represent the quality of machining, which impacts productivity gains. From a mechanical oscillation point of view, various degrees of roughness are undesirable because they cause noise and dynamic strain [7; 8]. These result in fatigue and failure of the machine structure or its functional parts and a loss of energy or reduced performance. A chronological overview of optical profilometric systems, which are described as carrying out real time acquisition, digital signal processing and full-color 3D profile displays, have been introduced. The relevant operating principles, strengths and weaknesses of these devices have been discussed and discussions on major limitations and future challenges in high-speed optical profilometry have been accounted for [9; 10]. Models describing the relationship between the machine and the workpiece and the surface quality of the latter began to appear in published papers several years ago. [PERSON], [PERSON], [PERSON], [PERSON], [PERSON], [PERSON], [PERSON], [PERSON] [11] defined several aspects of importance of the experimental analysis of surface roughness in the machining process. Unwanted surface roughness may indicate damage to functional parts of the machine, wear of tools, of the workpiece, the cutting head or other parts of the machine. These findings herald damage to, or lack of rigidity of the machine's structure, bearing components or the machine's other machining and separating parts [11]. [PERSON] and [PERSON] [12] have stated that the development of science and technology, and the application of the results of such developments, increase the importance of surface quality of parts. This largely affects their service life and reliability, and the operating accuracy, noise, corrosion and wear resistance, fatigue loss, or fatigue strength of components are largely quality-dependent [13; 14]. The roughness value of surfaces that come into contact with each other is often a decisive factor [15]. It also significantly impacts the life, reliability and the operation of the technical equipment [16; 17]. [PERSON], [PERSON], [PERSON], [PERSON] and [PERSON] [18] proposed a similar surface roughness measurement method to prove that the measurement process is largely influenced by the source of the laser light containing two colors, red and green, creating a relationship model between the overlapping index and roughness. The work of [PERSON], [PERSON] [19] and [PERSON] [20] demonstrates that the surface profile and the workpiece surface roughness are the most important product quality characteristics, and, in most cases, they reflect important technical requirements for engineering components. Achieving the required surface quality is very important for the functional behavior of the part. In addition, the importance of the machined surface quality is constantly increasing, as are the demands placed on such surfaces [21; 22].