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Research ArticleOpen accessIn the keywordsNOVEL IMAGE-DEPENDENT QUALITY ASSESSMENT MEASURESZahir M. Hussain, Asaad Noori HashimThe image is a 2D signal whose pixels are highly correlated in a 2D manner. Hence, using pixel by pixel error what we called previously Mean-Square Error, (MSE) is not an efficient way to compare two similar images (e.g., an original image and a compressed version of it). Due to this correlation, image comparison needs a correlative quality measure. It … …Journal of Computer Science, Vol. 10, Issue 8 · 27 Feb 2014 · 7,434 accessesView PDFCite
Research ArticleOpen accessIn the keywordsCOMPARATIVE STUDY OF K-MEANS AND K-MEANS++ CLUSTERING ALGORITHMS ON CRIME DOMAINBashar Aubaidan, Masnizah Mohd, Mohammed AlbaredThis study presents the results of an experimental study of two document clustering techniques which are k-means and k-means++. In particular, we compare the two main approaches in crime document clustering. The drawback of k-means is that the user needs to define the centroid point. This becomes more critical when dealing with document clustering because each center point represented by … …Journal of Computer Science, Vol. 10, Issue 7 · 19 Feb 2014 · 7,762 accessesView PDFCite
Research ArticleOpen accessIn the keywordsCLUSTER BASED DUPLICATE DETECTIONA. Venkatesh Kumar, S. VengataasalamWe propose a clustering technique for entropy based text dis-similarity calculation of de-duplication system. Improve the quality of grouping; in this study we propose a Multi-Level Group Detection (MLGD) algorithm which produces a most accurate group with most closely related object using Alternative Decision Tree (ADT) technique. Our propose a two new algorithm; first one is Multi-Level Group Detection (MLGD) … …Journal of Computer Science, Vol. 9, Issue 11 · 28 Sep 2013 · 7,035 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFEATURE DIMENSION REDUCTION FOR EFFICIENT MEDICAL IMAGE RETRIEVAL SYSTEM USING UNIFIED FRAMEWORKYogapriya Jaganathan, Ila VennilaFeature dimensionality reduction problem is a major issue in Content Based Medical Image Retrieval (CBMIR) for the effective management of medical images with the support of visual features for the purpose of diagnosis and educational research field. The proposed CBMIR is used a unified approach based on extraction of visual features, optimized feature selection, classification of optimized features and similarity … …Journal of Computer Science, Vol. 9, Issue 11 · 24 Sep 2013 · 6,982 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn integrated Framework Based on Texture Features, Cuckoo Search and Relevance Vector Machine for Medical Image Retrieval SystemYogapriya Jaganathan, Ila VennilaAs medical images are widely used in healthcare applications, Content Based Medical Image Retrieval (CBMIR) system is needed for physicians to convey effective decisions to patients and for medical research students to learn imaging characteristics for their extensive research based on visual features. However the performance of the retrieval is restricted due to high feature dimensionality of visual features. To … …American Journal of Applied Sciences, Vol. 10, Issue 11 · 24 Sep 2013 · 6,878 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAUTOMATIC ESSAY GRADING SYSTEM FOR SHORT ANSWERS IN ENGLISH LANGUAGEAli Muftah Ben Omran, Mohd Juzaiddin Ab AzizAutomatic Essay Grading (AEG) system is defined as the computer technology that evaluates and grades written prose. The short essay answer, where the essay is written in short sentences where it has two types the open ended short answer and the close ended short answer where it is our research domain based on the computer subject. The Marking of short … …Journal of Computer Science, Vol. 9, Issue 10 · 5 Sep 2013 · 7,417 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEvaluation of Different Query Expansion Techniques for Arabic Text Retrieval SystemAysh Alhroob, Hayel Khafajeh, Nisreen InnabThe word mismatch problem is fundamental to Information retrieval. Query expansion process helps to overcome this problem. Based on the Arabic corpuses, the comparisons between two query expansion techniques (global and local query) have been conducted to determine the query effectiveness. First one represents the local context analysis which represents a local method, while a global method was the second … …American Journal of Applied Sciences, Vol. 10, Issue 9 · 24 Aug 2013 · 6,885 accessesView PDFCite
Research ArticleOpen accessIn the keywordsText Steganography Based on Font Type in MS-Word DocumentsWesam Bhaya, Abdul Monem Rahma, Dhamyaa AL-NasrawiWith the rapid development of Internet, safe covert communications in the network environment become an essential research direction. Steganography is a significant means that secret information is embedded into cover data imperceptibly for transmission, so that information cannot be easily aware by others. Text Steganography is low in redundancy and related to natural language rules these lead to limit manipulation … …Journal of Computer Science, Vol. 9, Issue 7 · 22 Jun 2013 · 8,482 accessesView PDFCite
Research ArticleOpen accessIn the keywordsContent Based Medical Image Retrieval using Binary Association RulesAkila, Uma MaheswariIn this study, we propose a content-based medical image retrieval framework based on binary association rules to augment the results of medical image diagnosis, for supporting clinical decision making. Specifically, this work is employed on scanned Magnetic Resonance brain Images (MRI) and the proposed Content Based Image Retrieval (CBIR) process is for enhancing relevancy rate of retrieved images. The pertinent … …Journal of Computer Science, Vol. 9, Issue 6 · 30 May 2013 · 6,548 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Framework for MRI Image Retrieval Using Curvelet Transform and Euclidean DistanceRajakumar, MuttanContent Based Image Retrieval (CBIR) system supports users to retrieve relevant medical images based on their features. Current content based image retrieval systems are incapable of providing exact results to the users. To address this problem a consistent feature extraction method is required for content based medical image retrieval system to extract similar features from the images. In this study … …Journal of Computer Science, Vol. 9, Issue 3 · 12 Apr 2013 · 6,520 accessesView PDFCite