Evaluation of methods for ridge and valley detection

Antonio M. Löpez; Felipe Lumbreras; Joan Serrât; Juan J. Villanueva

doi:10.1109/34.761263

Evaluation of methods for ridge and valley detection

Antonio M. Löpez, Felipe Lumbreras, Joan Serrât, Juan J. Villanueva

Department of Computer Science

Research output: Contribution to journal › Article › Research › peer-review

186 Citations (Scopus)

Abstract

Ridges and valleys are useful geometric features for image analysis. Different characterizations have been proposed to formalize the intuitive notion of ridge/valley. In this paper, we review their principal characterizations and propose a new one. Subsequently, we evaluate these characterizations with respect to a list of desirable properties and their purpose in the context of representative image analysis tasks.

Original language	English
Pages (from-to)	327-335
Journal	IEEE Transactions on Pattern Analysis and Machine Intelligence
Volume	21
DOIs	https://doi.org/10.1109/34.761263
Publication status	Published - 1 Jan 1999

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title = "Evaluation of methods for ridge and valley detection",

abstract = "Ridges and valleys are useful geometric features for image analysis. Different characterizations have been proposed to formalize the intuitive notion of ridge/valley. In this paper, we review their principal characterizations and propose a new one. Subsequently, we evaluate these characterizations with respect to a list of desirable properties and their purpose in the context of representative image analysis tasks.",

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AB - Ridges and valleys are useful geometric features for image analysis. Different characterizations have been proposed to formalize the intuitive notion of ridge/valley. In this paper, we review their principal characterizations and propose a new one. Subsequently, we evaluate these characterizations with respect to a list of desirable properties and their purpose in the context of representative image analysis tasks.

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DO - 10.1109/34.761263

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Evaluation of methods for ridge and valley detection

Abstract

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