Skip to Main content Skip to Navigation
Conference papers

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.
Document type :
Conference papers
Complete list of metadata
Contributor : Administrateur IMT - Mines Alès Connect in order to contact the contributor
Submitted on : Tuesday, May 24, 2022 - 10:29:19 AM
Last modification on : Friday, August 5, 2022 - 10:58:26 AM
Long-term archiving on: : Tuesday, August 30, 2022 - 10:07:06 AM


Files produced by the author(s)



Ghulam-Sakhi Shokouh, Baptiste Magnier, Binbin Xu, Philippe Montesinos. An Objective Comparison of Ridge/Valley Detectors by Image Filtering. ICPR 2021 - International Conference on Pattern Recognition Workshops and Challenges, Jan 2021, Virtual Event, France. pp.182-197, ⟨10.1007/978-3-030-68821-9_18⟩. ⟨hal-03164184⟩



Record views


Files downloads