International Journal of Imaging Systems and Technology

Cover image for Vol. 26 Issue 3

Edited By: Seung-Schik Yoo and Emily Stern

Impact Factor: 0.571

ISI Journal Citation Reports © Ranking: 2015: 19/24 (Imaging Science & Photographic Technology); 77/90 (Optics); 200/255 (Engineering Electrical & Electronic)

Online ISSN: 1098-1098

Most Cited

Read the most cited articles published since 2009

Supervised pattern classification based on optimum-path forest
J. P. Papa, A. X. Falcão, C. T. N. Suzuki

We present a supervised classification method which represents each class by one or more optimum-path trees rooted at some key samples, called prototypes. The training samples are nodes of a complete graph, whose arcs are weighted by the distances between the feature vectors of their nodes. Prototypes are identified in all classes and the minimization of a connectivity function by dynamic programming assigns to each training sample a minimum-cost path from its most strongly connected prototype. This competition among prototypes partitions the graph into an optimum-path forest rooted at them. The class of the samples in an optimum-path tree is assumed to be the same of its root. A test sample is classified similarly, by identifying which tree would contain it, if the sample were part of the training set. By choice of the graph model and connectivity function, one can devise other optimum-path forest classifiers. Read the entire abstract.

Volume 19, Issue 2, pages 120–131, June 2009

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Image reconstruction for a partially immersed imperfectly conducting cylinder by genetic algorithm
Wei Chien, Chi-Hsien Sun, Chien-Ching Chiui

This article presents a computational approach to the imaging of a partially immersed imperfectly conducting cylinder. An imperfectly conducting cylinder of unknown shape and conductivity scatters the incident transverse magnetic (TM) wave in free space while the scattered field is recorded outside. Based on the boundary condition and the measured scattered field, a set of nonlinear integral equations, and the inverse scattering problem are reformulated into an optimization problem. We use genetic algorithm (GA) to reconstruct the shape and the conductivity of a partially immersed imperfectly conducting cylinder. The genetic algorithm is then used to find out the global extreme solution of the cost function. Read the entire abstract.

Volume 19, Issue 4, pages 299–305, December 2009

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Relaxation time constants and apparent diffusion coefficients of rat retina at 7 Tesla
Govind Nair, Qiang Shen, Timothy Q. Duong

MRI has recently been applied to study the retina in vivo. Measurements of relaxation time constants (T1, T2, and T2*) and the apparent diffusion coefficient (ADC) of the retina would be useful to systemically optimize structural, physiological, and functional MRI contrasts. MRI studies were performed on 12 anesthetized and paralyzed rats. High-resolution T1, T2, T2* and ADC of the rat eyes were measured at 50 × 50 × 800 μm at 7 Tesla. Profiles of T1, T2, T2* and ADC across the retinal thickness were analyzed. Region of interests of three layers across the retinal thickness were tabulated. This study demonstrated that high resolution T1, T2, T2* and ADC of the rat retina could be imaged. Read the entire abstract.

Volume 20, Issue 2, pages 126–130, June 2010

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Pattern-information fMRI: New questions which it opens up and challenges which face it
Rajeev D. S. Raizada, Nikolaus Kriegeskorte

Recent years have seen a strong growth of interest in multivariate approaches for analysing brain activity patterns. The primary goal of these approaches is to reveal the information represented in neuronal population codes. Here, we review how these methods have been used to relate neural activity patterns both to stimulus input and to behavioural output and how they might help to explain individual differences in behavioural performance. We examine the neuroscientific interpretation of different types of pattern-information analysis and highlight current challenges and promising future directions for this emerging field. Read the entire abstract.

Volume 20, Issue 1, pages 31–41, March 2010

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Finger vein recognition using minutia-based alignment and local binary pattern-based feature extraction
Eui Chul Lee, Hyeon Chang Lee, Kang Ryoung Park

With recent increases in security requirements, biometrics such as fingerprints, faces, and irises have been widely used in many recognition applications including door access control, personal authentication for computers, Internet banking, automatic teller machines, and border-crossing controls. Finger vein recognition uses the unique patterns of finger veins to identify individuals at a high level of accuracy. This article proposes a new finger vein recognition method using minutia-based alignment and local binary pattern (LBP)-based feature extraction. Our study makes three novelties compared to previous works. Read the entire abstract.

Volume 19, Issue 3, pages 179–186, September 2009

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Data clustering as an optimum-path forest problem with applications in image analysis
Leonardo Marques Rocha, Fábio A. M. Cappabianco, Alexandre Xavier Falcão

We propose an approach for data clustering based on optimum-path forest. The samples are taken as nodes of a graph, whose arcs are defined by an adjacency relation. The nodes are weighted by their probability density values (pdf) and a connectivity function is maximized, such that each maximum of the pdf becomes root of an optimum-path tree (cluster), composed by samples “more strongly connected” to that maximum than to any other root. Read the entire abstract.

Volume 19, Issue 2, pages 50–68, June 2009

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Color reduction for complex document images
Nikos Nikolaou, Nikos Papamarkos

A new technique for color reduction of complex document images is presented in this article. It reduces significantly the number of colors of the document image (less than 15 colors in most of the cases) so as to have solid characters and uniform local backgrounds. Therefore, this technique can be used as a preprocessing step by text information extraction applications. Specifically, using the edge map of the document image, a representative set of samples is chosen that constructs a 3D color histogram. Based on these samples in the 3D color space, a relatively large number of colors (usually no more than 100 colors) are obtained by using a simple clustering procedure. Read the entire abstract.

Volume 19, Issue 1, pages 14–26, March 2009

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MRtrix: Diffusion tractography in crossing fiber regions
J-Donald Tournier, Fernando Calamante, Alan Connelly

In recent years, diffusion-weighted magnetic resonance imaging has attracted considerable attention due to its unique potential to delineate the white matter pathways of the brain. However, methodologies currently available and in common use among neuroscientists and clinicians are typically based on the diffusion tensor model, which has comprehensively been shown to be inadequate to characterize diffusion in brain white matter. This is due to the fact that it is only capable of resolving a single fiber orientation per voxel, causing incorrect fiber orientations, and hence pathways, to be estimated through these voxels. Read the entire abstract.

Volume 22, Issue 1, pages 53–66, March 2012

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Resolution trade-off analysis for aperture size and signaling bandwidth of diffraction tomography based on spatial-frequency spectral coverage
Hua Lee

The objective of this article is to present the trade-off analysis of resolving capability of diffraction tomography between aperture size and illumination signal bandwidth based on the span of spatial spectral coverage. The analysis is conducted on both the transmission and reflection modes, and can be generalized into various data acquisition configurations. Read the entire abstract.

Volume 19, Issue 1, pages 1–4, March 2009

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Plant Leaf Identification Using Gabor Wavelets
Dalcimar Casanova, Jarbas Joaci de Mesquita Sá Junior,Odemir Martinez Bruno

This article presents a novel method of plant classification using Gabor wavelet filters to extract texture filters in a foliar surface. The aim of this promising method is to add to the results obtained by other leaf attributes (such as shape, contour, color, among others), increasing, therefore, the percentage of classification of plant species. To corroborate the efficiency of the technique, an experiment using 20 species from Brazilian flora was done and discussed. Read the entire abstract.

Volume 19, Issue 3, pages 236–243, September 2009

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