A new morphological measure of histogram bimodality

Miguel Angel Cataño; Joan Climent

doi:10.1007/978-3-642-33275-3_48

A new morphological measure of histogram bimodality

Miguel Angel Cataño, Joan Climent

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

The presence of multiple modes in a histogram gives important information about data distribution for a great amount of different applications. The dip test has been the most common statistical measure used for this purpose. Histograms of oriented gradients (HOGs) with a high bimodality have shown to be very useful to detect highly robust keypoints. However, the dip test presents serious disadvantages when dealing with such histograms. In this paper we describe the drawbacks of the dip test for determining HOGs bimodality, and present a new bimodality test, based on mathematical morphology, that overcomes them.

Original language	English
Title of host publication	Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 17th Iberoamerican Congress, CIARP 2012, Proceedings
Pages	390-397
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-642-33275-3_48
State	Published - 2012
Event	17th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP 2012 - Buenos Aires, Argentina Duration: 3 Sep 2012 → 6 Sep 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7441 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	17th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP 2012
Country/Territory	Argentina
City	Buenos Aires
Period	3/09/12 → 6/09/12

Keywords

Bimodality test
Dynamics
Histograms of Oriented Gradients
Keypoint detection
Mathematical Morphology

Access to Document

10.1007/978-3-642-33275-3_48

Cite this

Cataño, M. A., & Climent, J. (2012). A new morphological measure of histogram bimodality. In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 17th Iberoamerican Congress, CIARP 2012, Proceedings (pp. 390-397). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7441 LNCS). https://doi.org/10.1007/978-3-642-33275-3_48

Cataño, Miguel Angel ; Climent, Joan. / A new morphological measure of histogram bimodality. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 17th Iberoamerican Congress, CIARP 2012, Proceedings. 2012. pp. 390-397 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Cataño, MA & Climent, J 2012, A new morphological measure of histogram bimodality. in Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 17th Iberoamerican Congress, CIARP 2012, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7441 LNCS, pp. 390-397, 17th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP 2012, Buenos Aires, Argentina, 3/09/12. https://doi.org/10.1007/978-3-642-33275-3_48

A new morphological measure of histogram bimodality. / Cataño, Miguel Angel; Climent, Joan.
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 17th Iberoamerican Congress, CIARP 2012, Proceedings. 2012. p. 390-397 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7441 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Cataño MA, Climent J. A new morphological measure of histogram bimodality. In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 17th Iberoamerican Congress, CIARP 2012, Proceedings. 2012. p. 390-397. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-33275-3_48

A new morphological measure of histogram bimodality

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