Several iterative algorithms based on multigrid methods are introduced for solving linear Fredholm integral equations of the second kind. Automatic programs based on these algorithms are introduced using Simpson's rule and the piecewise Gaussian rule for ...

The algorithm for the stereo pair matching and automatic reconstruction of a three dimensional digital model of terrain is considered. This algorithm, based on the local correlation analysis at the image pyramid, can be employed in landscape mapping and a...

Image mosaic technology is an important research field of image processing and a research focus on the computer vision and computer graphics. The traditional method is to select the feature points by manual selection method, which faces the problem of low reliability and efficiency in the batch of the image mosaic. The SIFT features have many properties that make them suitable for matching ...

This report documents efforts conducted under the Laboratory Directed Research and Development (LDRD) project ATR/Exploitation Utilizing Ultra-High Resolution, Complex SAR Imaging. The focus of this research was to develop automatic target recognition (AT...

The techniques define digital control algorithms based on least squares estimation methods to adjust the parameters of a multichannel array filter to perform automatic null steering. The algorithms are designed to converge to the optimal filter parameters...

The book presents principles of the theory of automatic vehicle control based on imcomplete data. Basic attention in it is paid to selecting the recurrent navigation and control algorithms based on digital statistical data. Methods are presented for proce...

A laser-based research system for gated viewing is currently being developed at FOI. One of its possible applications is long-range automatic target recognition. This report treats an implementation if a viable target recognition algorithm based on one-, ...

A novel automatic target recognition algorithm based on statistical dispersion of infrared multispectral images(SDOIMI) is proposed. Firstly, infrared multispectral characteristic matrix of the scenario is constructed based on infrared multispectral characteristic information (such as radiation intensity and spectral distribution etc.) ...

New high resolution single spectral band imagery offers the capability to conduct image classifications based on spatial patterns in imagery. A classification algorithm based on autocorrelation patterns was developed to automatically extract orchards and vineyards from satellite imagery. The algorithm was tested on IKONOS imagery over ...

Contents: Measurement and Evaluation of Environmental Factors in Underground Construction Site (In English); Non-Rigid Medical Image Registration Algorithm Based on Modally Controlled Free Form Deformation (In English); Automatic Segmentation of Echocardi...

The use of semantic resources is common in modern NLP systems, but methods to extract lexical semantics have only recently begun to perform well enough for practical use. We evaluate existing and new similarity metrics for thesaurus extraction, and experiment with the tradeoff between extraction performance and efficiency. We propose an approximation algorithm, ...

This paper introduces the components of the hardware, software, working principle and the defect detection capacity of computer vision system for x-ray real time radiography weld defect detection and evaluation. Meanwhile, the image processing system is studied in which an image transformation algorithm is presented for defect extraction. Moreover, a sectional curve fitting algorithm and an ...

This report discusses an automatic target recognition (ATR) algorithm for synthetic aperture radar (SAR) imagery that is based on coherent change detection techniques. The algorithm relies on templates created from training data to identify targets. Objects are identified or rejected as targets by comparing their SAR signatures with templates using the same complex correlation ...

Chromosome image analysis and pattern classification is one of the essential tasks in genetic syndrome diagnoses. An automatic procedure is introduced for chromosome image analysis. The pale-path algorithm is proposed to segment touching and overlapping chromosomes. Medial axis is extracted by the middle point algorithm. Chromosome band is enhanced by the ...

The image coding algorithm based on quadtree partitioning, which is presented by Yuval Fisher, has become the mainstream of fractal image compression. However, in the conventional Yuval Fisher's theory, the threshold of distance between range blocks and domain blocks is pre-fixed mainly by experience, which does not take the practical statistical ...

The images captured by image-array-based automatic optical inspection devices may be inconsistent in lightness, definition and uniformity, which greatly influence the accuracy of the inspection result. To solve such a problem, a component inspection algorithm based on low-dimensional image feature is proposed. It doesn't compare ...

The report assesses the impact of technological developments on the supply/demand balance of the two principal natural cordage fibers--abaca and sisal. World production of abaca has decreased to an annual level of 151.4 million pounds in 1971, while world...

This paper presents a novel method of automatically adding navigation capabilities to re-mastered electronic books. We first analyze the need for a generic and robust system to automatically construct navigation links into re-mastered books. We then introduce the core algorithm based on text matching for building ...

Poorly structured code is hard to maintain and read. Refactoring can improve the code structure and thus make it easier to preserve and to discern the underlying design. According to Martin Fowler�s book Refactoring, refactoring is �a change made to the internal structure of software to make it easier to understand and cheaper to modify without changing its observable behavior. � Refactoring ...

In this paper, a new method was put forward for automatic recognition of the first heart sounds (S1) and the second heart sounds (S2). After the original heart sound signal was preprocessed, the heart sound envelope was extracted by using the mathematical morphology. Then on the heart sound envelope, S1 and S2 were recognized. Eighty heart sound samples collected were used for ...

We describe what is to our knowledge a novel approach to phase unwrapping. Using the principle of unwrapping following areas with similar phase values (homogenous areas), the algorithm reacts satisfactorily to random noise and breaks in the wrap distributions. Execution times for a 512 x 512 pixel phase distribution are in the order of a half second on a desktop computer. The precise value depends ...

An interval-based temporal logic is introduced, together with a computationally effective reasoning algorithm based on constraint propagation. This system is notable in offering a delicate balance between expressive power and the efficiency of its deductive engine. A notion of reference intervals is introduced which captures the temporal hierarchy implicit ...

The three-dimensional reconstruction of macromolecules from two-dimensional single-particle electron images requires determination and correction of the contrast transfer function (CTF) and envelope function. A computational algorithm based on constrained non-linear optimization is developed to estimate the essential parameters in the CTF and envelope ...

SummaryThe three-dimensional reconstruction of macromolecules from two-dimensional single-particle electron images requires determination and correction of the contrast transfer function (CTF) and envelope function. A computational algorithm based on constrained non-linear optimization is developed to estimate the essential parameters in the CTF and ...

The three-dimensional reconstruction of macromolecules from two-dimensional single-particle electron images requires determination and correction of the contrast transfer function (CTF) and envelope function. A computational algorithm based on constrained non-linear optimization is developed to estimate the essential parameters in the CTF and envelope ...

Document image matching is the key technique for document registration and retrieval. In this paper, a new matching algorithm based on document component block list and component block tree is proposed. Our method can effectively make use of the local information of each page block and the global information of page layout, while it is also robust to image ...

When the delamination extent of thermal barrier coatings (TBC) is over a sufficiently large area to assess the adhesion of coatings, Pulse thermography (PT) is an effective technique, but often the distinction between delamination and TBC over-thickness is very difficult to determine. In this work, a recently developed algorithm based on apparent thermal ...

This paper is an initial exploration into the effects of range resolution on Automatic Target Recognition (ATR) algorithms based on High Range Resolution (HRR) signatures. The theoretical performance of a two-class, forced-decision classifier is used to quantify the effects of radar resolution on ATR performance. The classifier ...

In this paper, an image mosaic method based on SURF feature matching is proposed, which consists of the following steps: First, detecting SURF feature descriptor and finding matching pairs by mutual matching; Then, modified PROSAC (Progressive Sample Consensus) is proposed to remove the mismatch pairs and estimate homography matrix; Finally, adjusting the image to the same coordinate by ...

In the finite element modeling of corona fields, the area close to the corona electrode needs the finest discretization due to a significant difference in size and curvature of electrodes. User defined discretization may yield insufficient accuracy. In the approach presented in this paper, the domain is discretized adaptively according to the algorithm ...

... Accession Number : ADA076576. Title : Studies in Image Segmentation Algorithms Based on Histogram Clustering and Relaxation. ...

... GENETIC ALGORITHM BASED OPTIMIZATION OF ADVANCED SOLAR CELL DESIGNS MODELED IN SILVACO ATLASTM by James Utsler ...

An approach to improving the classification quality of correct algorithms based on a linear combination of algorithms based on the separation of objects by hyperplanes is proposed.

... Title : A Data Fusion Simulation Algorithm Based on Confusion Matrix Performance Metrics. Descriptive Note : Professional paper,. ...

We propose a new method that classifies wafer images according to their defect types for automatic defect classification in semiconductor fabrication processes. Conventional image classifiers using global properties cannot be used in this problem, because the defects usually occupy very small regions in the images. Hence, the defects should first be segmented, and the shape of ...

A novel automatic white-balance algorithm based on adaptive-luminance is proposed in this paper. This algorithm redefines the gray pixels region, which can filter the gray pixels accurately. Furthermore, with the relations between gray pixels� luminance with standard light source and their chroma Cb, Cr shifts with other color ...

. In this paper we discuss the automatic construction of quality nonobtuse boundary Delaunay triangulations of polygons such as needed for control volume or finite element method applications. These are Delaunay triangulations whose smallest angles are bounded and, in addition, whose boundary triangles do not have obtuse angles opposite to any boundary or interface edge. ...

We have developed a new algorithm based on the mathematical theory of linear programming (LP) and implemented it in our program RAPTOR. Our new approach provides an elegant formulation of the protein threading problem, overcomes the intractability problem of protein threading, in practice, and allows us to use existing powerful linear programming software ...

The fingerprint (FP) provides an optimal foundation for Automatic Personal Identification Systems. Over the last two decades significant progress in Automatic Fingerprint Identification Systems (AFIS) has been achieved. However, the performance of AFIS still suffers from the FP image quality captured by FP sensors, the enhancement techniques for FP images ...

Determining the onset of transient signals like seismograms, acoustic emissions or ultrasound signals is very time consuming if the onset is picked manually. Therefore, different approaches exist, especially in seismology. The concepts of the most popular approaches are summarized. An own approach adapted to ultrasound signals and acoustic emissions, based on the Akaike Information Criterion ...

In order to meet the accuracy requirement of a target recognition system, a target recognition algorithm based on support vector machine is proposed in this paper. In the algorithm, firstly, a fast image multi-threshold segmentation method is accomplished by using a novel searching path of particle swarm optimization to separate the target from the ...

Scoring of REM sleep based on polysomnographic recordings is a laborious and time-consuming process. The growing number of ambulatory devices designed for cost-effective home-based diagnostic sleep recordings necessitates the development of a reliable automatic REM sleep detection algorithm that is not based on the traditional electroencephalographic, electrooccolographic and ...