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» Extension of Moment Features' Invariance to Blur
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JMIV
2008
121views more  JMIV 2008»
13 years 4 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
ICIAP
2007
ACM
14 years 4 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 10 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
BMCBI
2004
162views more  BMCBI 2004»
13 years 4 months ago
Identifying spatially similar gene expression patterns in early stage fruit fly embryo images: binary feature versus invariant m
Background: Modern developmental biology relies heavily on the analysis of embryonic gene expression patterns. Investigators manually inspect hundreds or thousands of expression p...
Rajalakshmi Gurunathan, Bernard Van Emden, Sethura...
CVPR
2010
IEEE
13 years 4 months ago
Region moments: Fast invariant descriptors for detecting small image structures
This paper presents region moments, a class of appearance descriptors based on image moments applied to a pool of image features. A careful design of the moments and the image fea...
Gianfranco Doretto, Yi Yao