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53 results for “Digital Image Processing”
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Research ArticleOpen accessIn the abstractFACE RECOGNITION USING RELATIONSHIP LEARNING BASED SUPER RESOLUTION ALGORITHMSenthilSingh, ManikandanThe face recognition is an application which is for identifying a person from a digital image. The common problem that often occurs while identifying the face from image is due to the low resolution in images especially when it is captured from a long distance. In automated face recognition system, this has always been a challeging problem. To overcome this … …American Journal of Applied Sciences, Vol. 11, Issue 3 · 16 Jan 2014 · 6,968 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesign an Advance Computer-Aided Tool for Image Authentication and ClassificationRozita Teymourzadeh, Amirize Alpha Laadi, Yazan Samir Algnabi et al.Over the years, advancements in the fields of digital image processing and artificial intelligence have been applied in solving many real-life problems. This could be seen in facial image recognition for security systems, identity registrations. Hence a bottleneck of identity registration is image processing. These are carried out in form of image preprocessing, image region extraction by cropping, feature extraction … …American Journal of Applied Sciences, Vol. 10, Issue 7 · 24 Jun 2013 · 6,561 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimized Local Ternary Patterns: A New Texture Model with Set of Optimal Patterns for Texture AnalysisG. Madasamy Raja, V. SadasivamTexture analysis is one of the important as well as useful tasks in image processing applications. Many texture models have been developed over the past few years and Local Binary Patterns (LBP) is one of the simple and efficient approach among them. A number of extensions to the LBP method have been also presented but the problem remains challenging in … …Journal of Computer Science, Vol. 9, Issue 1 · 22 Jan 2013 · 6,951 accessesView PDFCite
Research ArticleOpen accessIn the abstractContent Based Medical Image Retrieval with Texture Content Using Gray Level Co-occurrence Matrix and K-Means Clustering AlgorithmsB. Ramamurthy, K. R. ChandranProblem statement: Recently, there has been a huge progress in collection of varied image databases in the form of digital. Most of the users found it difficult to search and retrieve required images in large collections. In order to provide an effective and efficient search engine tool, the system has been implemented. In image retrieval system, there is no methodologies … …Journal of Computer Science, Vol. 8, Issue 7 · 24 May 2012 · 7,448 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 abstractBio-Potential Signal Extraction from Multi-Channel Paper Recorded ChartsAli S.A. Al-MejradProblem Statement: Almost all of the modern biomedical equipments that record the biopotential actions have digital output but the paper chart records are a must. The volume of these records is significant and increasing rapidly. Keeping a bio-signal chart of a patient make it easy for quick assessment but still create problems in the essence of data storage, archiving , … …American Journal of Applied Sciences, Vol. 8, Issue 6 · 13 Jun 2011 · 7,106 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementation of Computer Aided Diagnosis System Based on Parallel Approach of Ant Based Medical Image SegmentationJayabalan Jaya, Keppanagowder ThanushkodiProblem statement: The aim of this study is to develop Computer Aided Diagnosis (CAD) system for the detection of brain tumor by using parallel implementation of ACO system for medical image segmentation applications due to the rapid execution for obtaining and extracting the Region of Interest (ROI) from the images for diagnostic purposes in medical field. Approach: For ROI segmentation, … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 8,130 accessesView PDFCite
Research ArticleOpen accessIn the abstractFish Classification Based on Robust Features Extraction From Color Signature Using Back-Propagation ClassifierMutasem Khalil Alsmadi, Khairuddin Bin Omar, Shahrul Azman Mohd NoahProblem statement: Image recognition was a challenging problem researchers had been research into this area for so long especially in the recent years, due to distortion, noise, segmentation errors, overlap and occlusion of objects in digital images. In our study, there are many fields concern with pattern recognition, for example, fingerprint verification, face recognition, iris discrimination, chromosome shape discrimination, optical … …Journal of Computer Science, Vol. 7, Issue 1 · 27 Dec 2010 · 8,636 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproving the Performance of Backpropagation Neural Network Algorithm for Image Compression/Decompression SystemOmaima N.A. AL-AllafProblem statement: The problem inherent to any digital image is the large amount of bandwidth required for transmission or storage. This has driven the research area of image compression to develop algorithms that compress images to lower data rates with better quality. Artificial neural networks are becoming attractive in image processing where high computational performance and parallel architectures are required. … …Journal of Computer Science, Vol. 6, Issue 11 · 26 Oct 2010 · 8,370 accessesView PDFCite
Research ArticleOpen accessIn the abstractParallel Approach for Content Based Medical Image Retrieval SystemM. Emmanuel, D.R. Ramesh Babu, Jayashree Jagdale et al.Problem statement: Parallel implementation of a CBIR system for medical applications due to the rapid progress in the technologies for obtaining and storing digital images for diagnostic purposes in medicine. Approach: For feature extraction Wavelet decomposition was used for texture, global color histograms for color and novel wavelet based approach for shape feature extraction. The system had been implemented in … …Journal of Computer Science, Vol. 6, Issue 11 · 23 Oct 2010 · 7,631 accessesView PDFCite