Ridges and valleys are the principle geometric features for their diverse applications, especially in image analysis problems such as segmentation, object detection, etc. Numerous characterizations have contributed to formalize the ridge and valley theory. The significance of each characterization rely however on its practical usefulness in a particular application. The objective comparison and evaluation of ridgeness/valleyness characterized as thin and complex image structure is thus crucially important, for choosing, which parameter’s values correspond to the optimal configuration to obtain accurate results and best performance. This paper presents a supervised and objective comparison of different filtering-based ridge detectors. Moreover, the optimal parameter configuration of each filtering techniques have been objectively investigated.