The study of the trabecular structure of bone aims to find the answer to the question of what parameters have the most significant impact on its mechanical properties, mainly compressive strength. The analysis of images of the trabecular structure of bone in X-ray microtomography images includes determining a set of parameters describing its spatial structure, such as the thickness of the trabeculae, the number of ends, and the number of connected trabeculae at nodal points, anisotropy coefficient [1, 2]. The critical element of the analysis is the detection of the trabecular structure, as a result of which the background is removed from the image, and the area corresponding to the trabeculae is reproduced by pixels with a value of 1. The difficulty in detecting the trabecular structure is the differentiation of shades of gray corresponding to the bone trabeculae, the small number of pixels representing the trabeculae, and the presence of noise, which also interferes with detection [3]. The set of 10 tree-dimensional images of trabecular structures was analyzed using three automatic binarization methods to estimate the impact of detection on the results of morphometric measurements. REFERENCES [1] L. Wojnar, A.Gąddek-Moszczak, J.Pietraszek, On the role of histomorphometric (stereological) microstructure parameters inthe prediction of vertebrae compression strength. Image Analysis and Stereology, 38(1):63-73, 2019. [2] J.D. Shipilow, H.M Macdonald, A.M.Liphardt ,M. Kan, S.K. Boyd, Bone micro-architecture, estimated bone strength, and the muscle-bone interaction in elite athletes: An HR-pQCT study. Bone 56: 281-9, 2013. [3] A. Gądek-Moszczak, N.Radek, I. Pliszka, The Impact of Detection Methods on the Results of Quantitative Analysis of the Surface Layer WC-CoAl2 2O3. Solid State Phenomena 235:45-51, 2015.