A method for classifying tube structures based on shape descriptors and a random forest classifier

•Tube structures are classified based on shape descriptors and a random forest.•The method is characterized by its accuracy 94%, level of automation.•Branch tube measurement can be resolved relying on the method.•Textureless object classification is completed with high accuracy using the method.