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57 results for “Image enhancement”
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Research ArticleOpen accessIn the abstractA New Algorithm for Fractal Coding Using Self Organizing MapS. Bhavani, k. ThanushkodiProblem statement: In medical imaging, lossy compression schemes are generally not used due to possible loss of useful clinical information and also degradations may result in lossy compression owing to operations like enhancement. As the medical images are huge in size a good lossy compression technology is required to store them in medical archives in an economical manner. There is … …Journal of Computer Science, Vol. 8, Issue 6 · 15 Mar 2012 · 7,583 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproving Diagnostic Viewing of Medical Images using Enhancement AlgorithmsHanan Saleh S. Ahmed, Md Jan NordinProblem statement: Various images are low quality and difficultly to detect and extract information. Therefore, the image has to get under a process called image enhancement which contains an aggregation of techniques that look for improving the visual aspect of an image. Medical images are one of the fundamental images, because they are used in more sensitive field which is … …Journal of Computer Science, Vol. 7, Issue 12 · 18 Oct 2011 · 7,991 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomatic Boundary Detection of Wall Motion in Two-dimensional Echocardiography ImagesFaten Abed Ali Dawood, Rahmita Wirza Rahmat, Mohd Zamrin Dimon et al.Problem statement: Medical image analysis is a particularly difficult problem because the inherent characteristics of these images, including low contrast, speckle noise, signal dropouts and complex anatomical structures. An accurate analysis of wall motion in Two-dimensional echocardiography images is “important clinical diagnosis parameter for many cardiovascular diseases”. A challenge most researchers faced is how to speed up the clinical decisions … …Journal of Computer Science, Vol. 7, Issue 8 · 15 Jul 2011 · 8,188 accessesView PDFCite
Research ArticleOpen accessIn the abstractSpeckle Suppression of Radar Images Using Normalized ConvolutionA. K. Helmy, G. S. El-TaweelProblem statement: Synthetic Aperture Radar (SAR) images are becoming more widely used in remote sensing applications. SAR uses microwave radiation to illuminate the earth's surface. The coherent microwave illumination, however, suffers from fading effects result in generating a multiplicative speckle noise that corrupts SAR images. Approach: Through this study, scheme to reduce speckles was proposed, it was designed to accomplish … …Journal of Computer Science, Vol. 6, Issue 10 · 5 Aug 2010 · 7,259 accessesView PDFCite
Research ArticleOpen accessIn the abstractDigital Recognition using Neural NetworkSaleh Ali K. Al-Omari, Putra Sumari, Sadik A. Al-Taweel, Anas J.A. HusainProblem statement: Handwriting number recognition is a challenging problem researchers had been research into this area for so long especially in the recent years. In our study there are many fields concern with numbers, for example, checks in banks or recognizing numbers in car plates, the subject of digit recognition appears. A system for recognizing isolated digits may be as … …Journal of Computer Science, Vol. 5, Issue 6 · 30 Jun 2009 · 7,661 accessesView PDFCite
Research ArticleOpen accessIn the abstractGeologic Mapping of United Arab Emirates using Multispectral Remotely Sensed DataMaged Marghany, Shattri Mansor, Mazlan HashimProblem statement: Geological studies are requiring standard methods and procedures to acquire precisely information. However, traditional methods might be difficult to use due to highly earth complex topography. Regarding the previous prospective, the advantage of satellite remote sensing in its application to geology is the wide coverage over the area of interest, where much accurate and useful information such as … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 2 · 30 Jun 2009 · 7,582 accessesView PDFCite
Research ArticleOpen accessIn the abstractImprovement of Nuclear Track Density Measurements Using Image Processing TechniquesA. Mostofizadeh, X. Sun, M. R. KardanThe well known edge detection methods were applied to evaluate accuracy and precision of nuclear track densitometry of polycarbonate detector. All measurements carried out in two cases of before and after improvement of track images. Considering the overlapping phenomenon -including double and triple tracks- experimental and statistical results showed that not only each particular edge detection method affects the accuracy … …American Journal of Applied Sciences, Vol. 5, Issue 2 · 28 Feb 2008 · 7,427 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficient Pre-processing of USF and MIAS Mammogram ImagesAyman A. AbuBaker, R. S. Qahwaji, Musbah J. Aqel et al.High quality mammogram images are high resolution and large size images. Processing these images require high computational capabilities. The transmission of these images over the net is sometimes critical especially if the diagnosis of remote radiologists is required. In this paper, a pre-processing technique for reducing the size and enhancing the quality of USF and MIAS mammogram images is introduced. … …Journal of Computer Science, Vol. 3, Issue 2 · 28 Feb 2007 · 7,167 accessesView PDFCite
Research ArticleOpen accessIn the abstractOn the Application of Artificial Neural Networks in Analyzing and Classifying the Human ChromosomesIbrahiem M.M. El EmaryThis study aimed to represent an advanced software tool assists in analyzing and classifying the human chromosomes. Our new software handles both classifying and analyzing the medical image of human chromosomes according to the following steps: 1- we use the image processing utilities in Matlab to analyze the image; where we provide a new filter to remove the noise depending … …Journal of Computer Science, Vol. 2, Issue 1 · 31 Jan 2006 · 7,515 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomatic Target Recognition in Cluttered Visible ImageryM. Jasmine Pemeena Priyadarsini, K. Murugesan, Srinivasa Rao Inbathini et al.Detection of a target from among similar/dissimilar targets in a cluttered image is vital in automatic target recognition. A MACH filter is used for the target detection in cluttered imagery. The cluttered images are correlated using the filter formulated from training images. The target is expected to be detected in the first highest peak. MACH was assumed as an optimum … …Journal of Computer Science, Vol. 9, Issue 5 · 21 May 2013 · 6,925 accessesView PDFCite