The aim of the research was to show the feasibility of using a modern, hybrid method of analysis, filtering to detect defects created on samples with a cylindrical shape manufactured by the selected additive technology. The studies focus on diagnostics, assessments of roundness profiles with the modern filtering technique, which employs both wavelet and Fourier transformations. The hybrid combination of two algorithms potentially allows for enhanced, in-depth diagnostics and the identification of the key morphological characteristics that could potentially influence the functional properties of the completed product. An evaluation covered the variability of the irregularities in roundness profiles, taking into account not only the height at which the profile was measured but also the 3D printing angle (orientation). The study showed the importance of verifying the distribution of irregularities across the entire surface of the components, given the substantial disparity in the data in each signal, whereas the employed algorithm further facilitated the accentuation of distinct characteristics of the roundness profiles. The conducted analysis permits carrying out a thorough diagnosis and assessment of the profiles, highlighting the disparity in the character of the roundness profiles as a function of the PBF technology parameters (printing direction) and measurement (location of the profile across the height), which allowed finding functional relationships. The advantage of using the hybrid method in comparison with the classical evaluation method using only Fourier transforms was demonstrated. Therefore, the results presented in the article have the potential for practical use in both the research area and industrial applications and can be supplementary to ASTM/ISO 52901 and ASTM/ISO 52902.