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25 septembre 2013
- handle: 10670/1.ndu503
- hal: hal-01496062
- doi: 10.1007/978-3-642-40925-7_16
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info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-642-40925-7_16
http://creativecommons.org/licenses/by/ , info:eu-repo/semantics/OpenAccess
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Mahalanobis distance ellipse growing ellipse detection pattern recognition feature extractionCiter ce document
Krzysztof Misztal et al., « Mahalanobis Distance-Based Algorithm for Ellipse Growing in Iris Preprocessing », HAL-SHS : sciences de l'information, de la communication et des bibliothèques, ID : 10.1007/978-3-642-40925-7_16
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Résumé
We introduce a new algorithm for ellipse recognition. The approach uses Mahalanobis distance and statistical and analytical properties of circular and elliptical objects. At first stage of the algorithm the starting configuration of initial ellipse is defined. Next we apply a condition which describes how much the shape is ellipse-like on the boundary points.The algorithm can be easily applied to detection of elliptical objects also on grayscale images. Moreover, we discuss the improvement in iris image preprocessing.