Moment invariants have been used as feature descriptors in a variety of object recognition applications. However, due to the digital nature of the imagery, the moments computed digitally are not truly invariant. Presents 1) the undersampling and digitizing effects of a digital image and 2) the quantization effect of intensity levels on moment invariants. Also presents a better formulation of the moment invariants by numerical integration approaches. -after Authorslink_to_subscribed_fulltex
International audienceThe several moment families have been reviewed in a first paper [1]. A classif...
[[abstract]]©1993 Elsevier-Moment invariants have been frequently used as features for shape recogni...
Various types of moments have been used to recognize image patterns in a number of applications. The...
Moment invariants have been used as feature descriptors in a variety of object recognition applicati...
This paper aims to present a survey of object recognition/classification methods based on image mome...
[[abstract]]Moment invariants used as features for shape recognition have been widely used. The mome...
Generalised color moments combine shape and color information and put them on an equal footing. Rati...
Generalised color moments combine shape and color information and put them on an equal footing. Rati...
Moment invariants are evaluated as a feature space for pattern recognition in terms of discriminatio...
International audienceMoment functions have been defined in [1] and important properties such as inv...
Abstract. Geometric moments have been proven to be a very efficient tool for description and recogni...
Moment invariants are important shape descriptors in computer vision. In this paper, we give a gener...
Moment invariants have been widely applied to image pattern recognition in a variety of applications...
Moment invariants have been widely introduced in recognizing planar objects for a few decades. This ...
A comparative evaluation of the effectiveness of moment invariants as shape sensitive features for p...
International audienceThe several moment families have been reviewed in a first paper [1]. A classif...
[[abstract]]©1993 Elsevier-Moment invariants have been frequently used as features for shape recogni...
Various types of moments have been used to recognize image patterns in a number of applications. The...
Moment invariants have been used as feature descriptors in a variety of object recognition applicati...
This paper aims to present a survey of object recognition/classification methods based on image mome...
[[abstract]]Moment invariants used as features for shape recognition have been widely used. The mome...
Generalised color moments combine shape and color information and put them on an equal footing. Rati...
Generalised color moments combine shape and color information and put them on an equal footing. Rati...
Moment invariants are evaluated as a feature space for pattern recognition in terms of discriminatio...
International audienceMoment functions have been defined in [1] and important properties such as inv...
Abstract. Geometric moments have been proven to be a very efficient tool for description and recogni...
Moment invariants are important shape descriptors in computer vision. In this paper, we give a gener...
Moment invariants have been widely applied to image pattern recognition in a variety of applications...
Moment invariants have been widely introduced in recognizing planar objects for a few decades. This ...
A comparative evaluation of the effectiveness of moment invariants as shape sensitive features for p...
International audienceThe several moment families have been reviewed in a first paper [1]. A classif...
[[abstract]]©1993 Elsevier-Moment invariants have been frequently used as features for shape recogni...
Various types of moments have been used to recognize image patterns in a number of applications. The...