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In most instances, multiple-modality visualization of pathologies will present advantages over single-modality studies. For many medical imaging procedures, it is desirable to produce a ldquofusedrdquo output that simultaneously exhibits characteristics of the data from each individual modality to reduce the difficulty of the decision-making process for radiologists. Preprocessing for most data fusion...
This paper investigates the differences between fractal encoding and other existing image enhancement techniques, such as bicubic interpolation, for iris image enhancement and their performance benefits when matching iris images from the ICE database. The algorithm used for iris recognition is the freely available Libor Masek Matlab code. Commercially available software was used for fractal encoding.
In this paper, we present different pattern recognition approaches for automatically detecting tear ducts in iris acquired eye images for enhancing iris recognition and detecting mislabeling in datasets. Detecting the tear duct in an image will tell an iris recognition system whether the presented eye image is that of a left or a right eye. This will enable the iris matcher to match the enrolled image...
This is a fingerprint pattern and ridge count analysis for two population groups used to associate an individual to a group through qualitative and quantitative comparison. The fingerprint data from the two groups were analyzed using a classification and regression tree algorithm. Four distinct trees were produced. The first tree separated the two populations using only finger number and pattern....
This paper introduces a novel method for enhancement of fingerprint image by means of eliminating the artificial induced boundaries, precise background omission, avoid oversaturation of the image in homogeneous areas, with no intermediate filtering and computational complexity. In order to eliminate the induced boundaries, CLAHE (contrast limited adaptive histogram equalization) technique is employed...
Multi-spectral videos have been used in many different fields, however, most prevalently, in the military and medical application areas. Computer vision experts are especially interested in using satellite-grade infrared (IR) sensors for object detection, recognition and identification (DRI) tasks. There has however, been increased interest in using multi-spectral videos for tasks such as inspection/surveillance,...
This paper presents a real-time multiple camera approach for multi-touch interaction system that takes advantage of specular display surface (such as conventional LCD displays) and the mirror-effect in a low-azimuth camera angle to detect and track fingers their reflections simultaneously. Building on our prior work, 1. We use multi-resolution processing to greatly improve runtime performance of the...
We propose and evaluate a novel method for enhancing performance of lips contour tracking, which is based on the concept of active shape models (ASM) and multi features. On the first image of the video sequence, lip region is detected using the Bayesian's rule in which lip color information is modeled by a Gaussian mixture model (GMM) which is trained by expectation-maximization (EM) algorithm. The...
We report on processing techniques to effectively control the data bandwidth in larger format focal plane array (FPA) sensors. We have developed an image processing architecture for foveating variable acuity FPAs that give a controlled reduction in the data rate via simple circuits that estimate activity on the FPA image plane. Integrated on-FPA signal processing goals are to perform pre-processing...
Harsh Environment Applied Technology (HEAT) has developed a ground-based forward-looking multispectral data collection system mounted on a rugged all terrain vehicle (ATV) to allow recording imagery while moving over rough terrain. The image data collected from multiple bands of the electro-optical/infrared (EO/IR) spectrum is used to aid image fusion algorithm development for applications such as...
Passive remote sensing is limited in that a two dimensional image is used to sense a three dimensional world. Multiple images over time add a fourth dimension, but time is under sampled with most remote sensing systems. Physical models of time varying environmental processes can be used to address the time and three dimensional aspect of the environment, but standalone models become inaccurate over...
Multiple image processing algorithms are often required to process computer vision inputs. The rapid processing of complex image streams requires more computing power than is found in a typical PC based computer or workstation, and the processing power of high-performance computers (HPCs) and Linux clusters have been required to do this type of rapid massive processing. Emerging multicore processors...
The use of technology to enhance a user interface has always been the driving force for new and upcoming research. This is of even more importance when the technology is being used by the armed forces and needs to improve the soldier's situational awareness in hostile conditions. Night vision goggles can provide a tactical advantage to soldiers by giving them the ability to see when their foes cannot...
A novel edge detection method based on a neighbourhood similarity criterion is presented in this paper. In this algorithm, the pixels in the original image that have minimum numbers of similar pixels among its neighbouring pixels in the filtering window are labelled as edge pixels. Simulation results demonstrate that this approach performs well in noise-free images but it is superior to the others...
The integration of multi-spectral airborne imagery and geographic data for wildfire and emergency response requires 3D multiple view registration. Registration of maps, visible imagery and IR imagery, especially LWIR, is challenging because of the difference in brightness, color and features that are available in the different modalities. We have developed a semi-automated workflow for the registration...
Current and upcoming wide-area aerial video collectors have very large effective focal plane arrays, and can generate a tremendous amount of data. This presents significant challenges for onboard storage and for real-time downlink. This paper presents the results of an evaluation of a number of different image and video compression schemes on wide-area video. In general, we found that video compression...
Most statistical models for applications rely on the Gaussian assumption. Yet, in many realistic situations, the underlying variation or uncertainty is essentially non-Gaussian. In detection problems, for instance, the Gaussian assumption leads to false alarms in cases where the tail is a fatter one, such as in the case of the Laplace density function. In classification problems, the Gaussian model...
Combining information from multiple spectral bands to describe a scene in which objects will be tracked can aid a well designed algorithm in differentiating between interesting and unimportant objects. This will lead to a more effective automated tracking system. Successful image fusion requires accurate imagery and good image registration. While offering certain advantages, using linear arrays also...
Traditionally, iris recognition is always about analyzing and extracting features from iris texture. We proposed to investigate regions around eyelashes and extract useful information which helps us to perform ethnic classification. We propose an algorithm which is easy to implement and effective. First, we locate eyelash region by using ASM to model eyelid boundary. Second, we extract local patch...
Motivated by the application of the 2D principal component analysis (PCA) for face recognition, this study proposes a modified multilinear PCA method as means to provide higher accuracy with comparable processing time in contrast to the results of contemporary methods. This comparative study includes an assessment of the accuracy and processing time of the independent component analysis (ICA), the...
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