An Objective Comparison of Ridge/Valley Detectors by Image Filtering

Abstract

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.

Ridge Detection by Image Filtering Techniques: A Review and an Objective Analysis

“…In consequence, to contribute the research process in the domain of ridges detection and extraction techniques, an extensive evaluation of the different state-of-the-art filtering techniques and approaches in the scope of its most useful application, is crucially necessary. This article is an extension and/or improved version of [23] aimed for objective and extensive analysis of state-of-the-art filtering techniques for ridge (resp., valley) detection and extraction.…”