A computer-implemented method for segmenting measurement data from a measurement of an object, the object having at least one material transition region, the measurement data generating a digital object representation having the at least one material transition region, the digital object representation comprising a plurality of spatially-resolved image information of the object, the method comprising the steps of: - determining the measurement data, wherein the measurement data comprises at least one small-scale structure that is a texture or a structure having an extent that is less than a predefined extent; - aligning a digital representation of a target geometry with the digital object representation; wherein the regions of the target geometry are associated with the corresponding regions of the measurement data; wherein the determination of the position of the material transitions draws on prior knowledge from the target geometry in the context of a pre-segmentation; - determining at least two homogeneous regions in the measurement data and/or in the digital object representation on the basis of the digital representation of the target geometry, wherein at least one of the at least two homogeneous regions has a small-scale structure; - analysing a local similarity of the plurality of spatially resolved image information; - identifying an expected location of a material transition region using the analysed local similarity, wherein the analysed local similarity in a material transition region exceeds a predetermined local similarity threshold; - adjusting an extent of each homogeneous region until at least one boundary region of each homogeneous region is located at the expected location of a material transition region; - segmenting the digital object representation based on the adjusted homogeneous regions. - determining the measurement data, wherein the measurement data comprises at least one small-scale structure that is a texture or a structure having an extent that is less than a predefined extent; - aligning a digital representation of a target geometry with the digital object representation; wherein the regions of the target geometry are associated with the corresponding regions of the measurement data; wherein the determination of the position of the material transitions draws on prior knowledge from the target geometry in the context of a pre-segmentation; - determining at least two homogeneous regions in the measurement data and/or in the digital object representation on the basis of the digital representation of the target geometry, wherein at least one of the at least two homogeneous regions has a small-scale structure; - analysing a local similarity of the plurality of spatially resolved image information; - identifying an expected location of a material transition region using the analysed local similarity, wherein the analysed local similarity in a material transition region exceeds a predetermined local similarity threshold; - adjusting an extent of each homogeneous region until at least one boundary region of each homogeneous region is located at the expected location of a material transition region; - segmenting the digital object representation based on the adjusted homogeneous regions. <EOS>