Shape recognition using orientational and morphological scale‐spaces of curvatures

Autor:	Erdem Akagündüz
Jazyk:	angličtina
Rok vydání:	2015
Předmět:	shape recognition closed planar curve scale-invariant representation Gaussian scale-space morphological scale-spaces orientation scale-space Computer applications to medicine. Medical informatics R858-859.7 Computer software QA76.75-76.765
Zdroj:	IET Computer Vision, Vol 9, Iss 5, Pp 750-757 (2015)
Druh dokumentu:	article
ISSN:	1751-9640 1751-9632
DOI:	10.1049/iet-cvi.2015.0012
Popis:	In this study, a scale‐invariant representation for closed planar curves (silhouettes) is proposed. The orientations of all points within the Gaussian scale‐space of the curve are extracted. This orientation scale‐space is used to create the silhouette orientation image in which the positions of each pixel indicate the curve's pixel positions and scales, whereas the colour represents orientation. The representation is extracted for multiple levels of the morphological scale‐space of the silhouette. The proposed representation is invariant to scale and transformable under planar rotation. Using linear and non‐linear distance learning methods, experiments on the MPEG7, ETH80 and Kimia shape datasets were conducted, with results indicating an advanced recognition capability.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/c4a4181f8ad8425fbb20809c79002e93 Zobrazit plný text záznamu Plný text View record in DOAJ