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Automatic Processing Of Radar Images For Electronic River Chart Generation In ECDIS Format  [PDF]
Nicolae PARASCHIV,Ciprian VLASCEANU
Annals of Dunarea de Jos , 2003,
Abstract: Presenting the navigation environment in electronic format – ECDIS – triggers a major change of the classic method of cartography and raises up the need to approach a way of producing the charts in vector-like format. The present paper is intended to describe a way of processing information (provided by a RADAR system and a GPS receiver), using Kalman filter algorithms and the elements form graph theory, to provide a rough form of an electronic chart. This can be completed afterwards by adding further information so that the chart can become totally compatible with ECDIS standard and can be used in automatic or aided inland navigation.
Edge detection of binary images using the method of masks  [PDF]
Ayman M Bahaa-Eldeen,Abdel-Moneim A. Wahdan,Hani M. K. Mahdi
Computer Science , 2014,
Abstract: In this work the method of masks, creating and using of inverted image masks, together with binary operation of image data are used in edge detection of binary images, monochrome images, which yields about 300 times faster than ordinary methods. The method is divided into three stages: Mask construction, Fundamental edge detection, and Edge Construction Comparison with an ordinary method and a fuzzy based method is carried out.
Segmentation of MRI Brain Images for Automatic Diagnosis  [PDF]
SOMA DATTA, DR. SAMIR KUMAR BANDYOPADHYAY
International Journal of Innovative Research in Computer and Communication Engineering , 2013,
Abstract: :The goal of this work is to development an Image Processing technique to segment patterns from the MRI brain images. The main focus is to automate the segmentation of MRI images that will be fed to the diagnoses unit for automatic classification and report generation. This work also aims to enhancing the images for visual inspection by reducing noise and histogram equalization
Generation of Pulse Sequences with Periodic Spectral Phase Masks  [PDF]
Itan Barmes,Axel Ruehl
Physics , 2014,
Abstract: We present a method for the generation of complex pulse sequences by using periodic spectral phase modulation. An analytical expression is derived for the temporal profile of such pulse sequences, which relates the temporal amplitudes and phases of the subpulses to the Fourier components of the periodic phase mask. We consider two families of periodic phase masks, namely, when a single period is an odd or even function, and discuss the differences between the resulting pulse sequences. The ability to generate pulse sequences with more degrees of freedom provides an alternative parametrization for investigating quantum coherent control landscapes. This is illustrated in the context of dark pulses in nonresonant two-photon absorption.
Automatic Color Transfer of Images  [PDF]
Guoliang Mo,Sanyuan Zhang,Xiaocong Zhou,Jialin Yan
Information Technology Journal , 2012,
Abstract: Color transfer of images means transferring color characteristics from one image to another, so that the target image and source image have similar colors. This study proposed a method of automatic color transfer of sampling images. The main steps are as follows. First, based on the unsupervised clustering, divide the target images and source images into a number of subsets with similar color and extract sample points with higher density from each subset to form sample sets. Then according to the definition of similarity measure, the correspondence between the sample sets is established. Third, use the best matching algorithm to find the best matching samples of the target sample set in the source sample set and pass the color information to the target sample points. At last, take color transfer of the non-sampled part in the target image with the sampled set which has been taken color transfer. Experimental results show that, although there is no interactive sampling operation, this method can approximate the results of the color transfer with interactive operation.
Semi-Automatic segmentation of multiple mouse embryos in MR images
Leila Baghdadi, Mojdeh Zamyadi, John G Sled, Jürgen E Schneider, Shuomo Bhattacharya, R Mark Henkelman, Jason P Lerch
BMC Bioinformatics , 2011, DOI: 10.1186/1471-2105-12-237
Abstract: Our algorithm, a modified version of the simplex deformable model of Delingette, addresses various issues with deformable models including initialization and inability to adapt to boundary concavities. In addition, it proposes a novel technique for automatic collision detection of multiple objects which are being segmented simultaneously, hence avoiding major leaks into adjacent neighbouring structures. We address the initialization problem by introducing balloon forces which expand the initial spherical models close to the true boundaries of the embryos. This results in models which are less sensitive to initial minimum of two fold after each stage of deformation. To determine collision during segmentation, our unique collision detection algorithm finds the intersection between binary masks created from the deformed models after every few iterations of the deformation and modifies the segmentation parameters accordingly hence avoiding collision.We have segmented six tubes of three dimensional MR images of multiple mouse embryos using our modified deformable model algorithm. We have then validated the results of the our semi-automatic segmentation versus manual segmentation of the same embryos. Our Validation shows that except paws and tails we have been able to segment the mouse embryos with minor error.This paper describes our novel multiple object segmentation technique with collision detection using a modified deformable model algorithm. Further, it presents the results of segmenting magnetic resonance images of up to 32 mouse embryos stacked in one gel filled test tube and creating 32 individual masks.The mouse, due its genetic similarity to humans, the existence of sophisticated genetic tools to manipulate its genome, rapid reproduction time and comparatively low housing costs, has become an increasingly important model organism in mammalian biology. More recently, Magnetic Resonance Imaging (MRI) has emerged as tool for capturing three-dimensional anatomy to
Automatic Color Images Classification Algorithm
Rushdi Saleem Hussein Abu Zneit,Amjad Abu Jazar,Belal Ayyoub
International Journal of Computer Science Issues , 2012,
Abstract: Numerous research works about the extraction of objects from images have been published. However only recently the focus has shifted to exploiting low-level features to classify images automatically into semantically meaningful and broad categories. This paper presents a novel automatic color image classification algorithm. Initially the color image is divided into classes; each class is a group of pixels that they have the same color after that the object is extracted from the image. In the recent work, an automatic color images classification algorithm is synthesized and analyzed. The suggested method was running on group of color images to determine the best parameters of suggested algorithm. We run our algorithm with initial value of elaboration coefficient and we found that the automatic classification algorithm achieved minimum classification error and minimum running time when incremented by step and becomes .
Automatic Generation of Exams in R  [PDF]
Bettina Grün,Achim Zeileis
Journal of Statistical Software , 2009,
Abstract: Package exams provides a framework for automatic generation of standardized statistical exams which is especially useful for large-scale exams. To employ the tools, users just need to supply a pool of exercises and a master file controlling the layout of the final PDF document. The exercises are specified in separate Sweave files (containing R code for data generation and LaTeX code for problem and solution description) and the master file is a LaTeX document with some additional control commands. This paper gives an overview of the main design aims and principles as well as strategies for adaptation and extension. Hands-on illustrations---based on example exercises and control files provided in the package---are presented to get new users started easily.
Automatic Generation of CHR Constraint Solvers  [PDF]
Slim Abdennadher,Christophe Rigotti
Computer Science , 2004,
Abstract: In this paper, we present a framework for automatic generation of CHR solvers given the logical specification of the constraints. This approach takes advantage of the power of tabled resolution for constraint logic programming, in order to check the validity of the rules. Compared to previous works where different methods for automatic generation of constraint solvers have been proposed, our approach enables the generation of more expressive rules (even recursive and splitting rules) that can be used directly as CHR solvers.
vMAGIC—Automatic Code Generation for VHDL  [PDF]
Christopher Pohl,Carlos Paiz,Mario Porrmann
International Journal of Reconfigurable Computing , 2009, DOI: 10.1155/2009/205149
Abstract: Automatic code generation is a standard method in software engineering, improving the code reliability as well as reducing the overall development time. In hardware engineering, automatic code generation is utilized within a number of development tools, the integrated code generation functionality, however, is not exposed to developers wishing to implement their own generators. In this paper, VHDL Manipulation and Generation Interface (vMAGIC), a Java library to read, manipulate, and write VHDL code is presented. The basic functionality as well as the designflow is described, stressing the advantages when designing with vMAGIC. Two real-world examples demonstrate the power of code generation in hardware engineering.
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