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» Blurred Image Recognition by Legendre Moment Invariants
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TIP
2010
166views more  TIP 2010»
13 years 3 months ago
Blurred Image Recognition by Legendre Moment Invariants
—Processing blurred images is a key problem in many image applications. Existing methods to obtain blur invariants which are invariant with respect to centrally symmetric blur ar...
Hui Zhang, Huazhong Shu, Guo-Niu Han, Gouenou Coat...
ICIAP
2007
ACM
14 years 5 months ago
A Method for Blur and Similarity Transform Invariant Object Recognition
In this paper, we propose novel blur and similarity transform (i.e. rotation, scaling and translation) invariant features for the recognition of objects in images. The features ar...
Janne Heikkilä, Ville Ojansivu
SCIA
2007
Springer
114views Image Analysis» more  SCIA 2007»
13 years 11 months ago
Object Recognition Using Frequency Domain Blur Invariant Features
In this paper, we propose novel blur invariant features for the recognition of objects in images. The features are computed either using the phase-only spectrum or bispectrum of th...
Ville Ojansivu, Janne Heikkilä
JMIV
2008
121views more  JMIV 2008»
13 years 5 months ago
Extension of Moment Features' Invariance to Blur
Moment invariants are features calculated on an image, which do not change their values after a transformation of the image. This paper focuses on the so called combined invariants...
Jirí Boldys, Jan Flusser
PR
2006
101views more  PR 2006»
13 years 5 months ago
Efficient Legendre moment computation for grey level images
9 Legendre orthogonal moments have been widely used in the field of image analysis. Because their computation by a direct method is very time expensive, recent efforts have been d...
G. Y. Yang, Huazhong Shu, Christine Toumoulin, Guo...