The goal of this research is to develop a process, using current imaging hardware and without human intervention, that provides an accurate and timely detection alert of a concealed weapon and its location in the image of the luggage. There are several ...

Keywords: Daubechies, edge detection, invariants, pattern matching, scale invariant feature transform, wavelets, weapons detection

We propose a new cross-training based learning algorithm in this paper. This algorithm generates three classifiers based on the three subsets of original labeled and unlabeled training set. The proposed algorithm is evaluated using data from the UCI ...

Keywords: co-training, cross-training, semi-supervised learning

This paper proposes a new K-View algorithm for texture image classification using rotation-invariant features. These features are statistically derived from characteristic view sets for each texture. Unlike the existing K-View algorithm, all the views ...

Keywords: K-view-datagram algorithm, K-view-template algorithm, characteristic view, rotation-invariant feature, texture classification

This paper proposes a hybrid rough K-means algorithm for image classification. The rough set theory is used to establish the lower and upper bound for data clustering in the K-means algorithm. Then, the particle swarm optimization (PSO) is employed to ...

Keywords: Image Segmentation, K-means Algorithm, Particle Swarm Optimization, Rough K-means

In this paper an automatic and effective method was proposed for mass segmentation in mammography. Based on the facts that mass edges are continuous and closed curves consisted of points which have larger gradient transformation, a plane fitting method ...

Keywords: dynamic programming, edge detection, mammographic mass segmentation, plane fitting

In this study, an adaptive image segmentation algorithm based on a modified Dynamic Window-based gray-level Run-Length Coding (DW-RLC) is developed. We propose an adaptive method for determining the range which is used in the (DW-RLC) algorithm for image ...

Keywords: dynamic run-length coding, image segmentation

The paper describes a new algorithm for image segmentation based on the color and texture features. The Uniform Local Binary Pattern (ULBP) method is used to extract texture features. Color features are defined based on the pixels color bands. Image ...

Keywords: color and texture segmentation, local Binary Patterns

A Markov Decision Process Model Based Handoff Management algorithm using interference control for next generation wireless systems (NGWS) was developed. This research is an extension of [1], which considers the different parameters of wireless networks, ...

In this paper, we develop Handoff Management algorithm using interference control for next generation wireless systems [NGWS]. This article is an extension of [14], which considers the different parameters of wireless network, like power consumption, ...

We compared two image classifiers which incorporate contextual information to classify each pixel in the raw images in this study: namely, the K-views classifier and the classifier using Markov Random Fields (MRF). These procedures incorporate contextual ...

Keywords: Markov random fields (MRF), spatial image classifiers