Pattern Recognition Letters

Pattern matching has been used extensively for many machine vision applications such as optical character recognition, face detection, object detection, and defect detection. The normalized cross correlation (NCC) is the most commonly used technique in ...

In this paper, we propose a new method to detect the moving objects using the orthogonal Gaussian-Hermite moments (OGHM). For the segmentation of moving objects in the moment images, we propose a fuzzy relaxation method (FRM) and 3D morphological ...

Symmetry exists widely in the real world and plays a remarkable role in perception problems. The existing symmetry detection algorithms are mainly based on luminance or gradient information. Upon analyzing the relationship between symmetry and phase, ...

Object tracking algorithms found extensively in the computer vision literature either are inhibited by various assumptions such as simplicity of motion and shape characteristics of objects or are overly sensitive to noise. We propose and successfully ...

In order to fuse two registered high spatial resolution panchromatic image and low spatial resolution multispectral image of the same scene, we proposed a new color transfer based fusion algorithm by using the non-separable wavelet frame transform (NWFT)...

Neighborhood graph construction is the first step of data projection based on geodesic distances. This paper presents an approach for constructing a k-edge-connected neighborhood graph. The approach works by applying a greedy algorithm to add edges in a ...

Digital metrics on the digital space play an important role in several branches of discrete mathematics, e.g. in discrete geometry or digital image processing. We perform an overall analysis on some properties of neighborhood sequences which induce ...

Range image analysis is one of the most important subjects in the fields of computer vision and pattern recognition, and range image segmentation is the key of the analysis. This paper presents a novel range image segmentation algorithm based on RHT (...

A novel livewire algorithm for image segmentation is proposed. Based on a generalized graph formulation, our algorithm incorporates the internal energy of the boundary curve while preserving the principle of optimality, resulting in better segmentation ...

The segmentation of magnetic resonance images (MRI) is a challenging problem that has received an enormous amount of attention lately. Many researchers have applied various techniques however fuzzy c-means (FCM) based algorithms have produced better ...

The axiom definition of distance measure between intuitionistic fuzzy sets (IFSs) is introduced. Some distance measures are proposed and corresponding proofs are given. The relations between similarity measure and distance measure of IFSs are analyzed. ...

Three different systematic approaches to generate multiple classifiers in atlas-based biomedical image segmentation are compared. Different atlases, as well as different parametrization of the registration algorithm, lead to different atlas-based ...

In this paper, we show that both the writer identification and the writer verification tasks can be carried out using local features such as graphemes extracted from the segmentation of cursive handwriting. We thus enlarge the scope of the possible use ...

This paper makes a comparison of global, feedback and smoothed-piecewise neural prediction models for financial time series (FTS) prediction problem. Each model is implemented by various neural network (NN) architectures: global model by a multilayer ...

This paper is concerned with transductive learning. We study a recent transductive learning approach based on clustering. In this approach one constructs a diversity of unsupervised models of the unlabeled data using clustering algorithms. These models ...

Clustering algorithms typically assume that the available data constitute a random sample from a stationary distribution. As data accumulate over time the underlying process that generates them can change. Thus, the development of algorithms that can ...