Abstract. Geometric moments have been proven to be a very efficient tool for description and recognition of binary shapes. Numerous methods for effective calculation of image moments have been presented up to now. Recently, Sossa, Yañez and Díaz [Pattern Recognition, 34(2):271-276, 2001] proposed a new algorithm based on a morphologic decomposition of the image into a set of closed disks. Their algorithm yields approximative results. In this paper we propose a refinement of their method that performs as fast as the original one but gives exact results.
Shape discrimination occupied a very important place in pattern recognition, image manipulation. How...
The task of recognition of objects from their two dimensional views has been attempted in the past u...
Abstract. A new reformulation of Philips’ algorithm for the computation of discrete image moments is...
This paper aims to present a survey of object recognition/classification methods based on image mome...
Gometrical moments have proven to be very nice features to describe a binary shape for its further r...
The Thesis consists of an introduction and four papers that contribute to the research of image mome...
[[abstract]]Moment invariants used as features for shape recognition have been widely used. The mome...
[[abstract]]©1993 Elsevier-Moment invariants have been frequently used as features for shape recogni...
Abstract: Geometric moment invariant produces a set of feature vectors that are invariant under shif...
Abstract: Geometric moment invariant produces a set of feature vectors that are invariant under shif...
In this paper we analyze some shape-based image retrieval methods which use different types of geome...
2D moment invariants have been successfully applied in pattern recognition tasks. The main difficult...
A comparative evaluation of the effectiveness of moment invariants as shape sensitive features for p...
Moment invariants have been thoroughly studied and repeatedly proposed as one of the most powerful t...
Moment invariants are properties of connected regions in binary images that are invariant to transla...
Shape discrimination occupied a very important place in pattern recognition, image manipulation. How...
The task of recognition of objects from their two dimensional views has been attempted in the past u...
Abstract. A new reformulation of Philips’ algorithm for the computation of discrete image moments is...
This paper aims to present a survey of object recognition/classification methods based on image mome...
Gometrical moments have proven to be very nice features to describe a binary shape for its further r...
The Thesis consists of an introduction and four papers that contribute to the research of image mome...
[[abstract]]Moment invariants used as features for shape recognition have been widely used. The mome...
[[abstract]]©1993 Elsevier-Moment invariants have been frequently used as features for shape recogni...
Abstract: Geometric moment invariant produces a set of feature vectors that are invariant under shif...
Abstract: Geometric moment invariant produces a set of feature vectors that are invariant under shif...
In this paper we analyze some shape-based image retrieval methods which use different types of geome...
2D moment invariants have been successfully applied in pattern recognition tasks. The main difficult...
A comparative evaluation of the effectiveness of moment invariants as shape sensitive features for p...
Moment invariants have been thoroughly studied and repeatedly proposed as one of the most powerful t...
Moment invariants are properties of connected regions in binary images that are invariant to transla...
Shape discrimination occupied a very important place in pattern recognition, image manipulation. How...
The task of recognition of objects from their two dimensional views has been attempted in the past u...
Abstract. A new reformulation of Philips’ algorithm for the computation of discrete image moments is...