Research ArticleOpen accessIn the abstractHeart Localization from Magnetic Resonance Images SequenceAhmed Farag, Mahmoud FakhreldinProblem statement: Heart localization is an important step in cardiac Magnetic Resonance Images (MRI) analysis. This study aims to locate the moving heart region from MRI sequence of images. Approach: The idea is to use the motion detection techniques to isolate the heart region from the background image and then apply morphological operations to construct a moving heart region mask. … …Journal of Computer Science, Vol. 8, Issue 4 · 30 Jan 2012 · 6,852 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Review on Recent Research and Implementation Methodologies on Medical Image SegmentationS. K. Somasundaram, P. AlliProblem statement: Image segmentation plays a very important role in digital imaging applications for classifying the anatomical structures and other Regions of Interest. Segmentation refers to the process of identifying and isolating the surface and regions of the digital image which corresponds to the structural units. Approach: In the past few decades, many methods have been proposed to segment the … …Journal of Computer Science, Vol. 8, Issue 1 · 4 Nov 2011 · 7,117 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffective Processing of Constraints based Spatial Join using R-TreesR. Parvathi, S. PalaniammalProblem statement: This study focuses on the spatial join effects with the constraints-based spatial data without any extra cost and Finding the minimum execution time of the spatial query and spatial selection method. Approach: Spatial joins are used to combine the spatial objects. The efficient processing depends upon the spatial queries. The execution time and I/O time of spatial queries … …American Journal of Applied Sciences, Vol. 8, Issue 12 · 29 Oct 2011 · 6,256 accessesView PDFCite
Research ArticleOpen accessIn the abstractDermoscopic Image Segmentation using Machine Learning AlgorithmL. Padma Suresh, K.L. Shunmuganathan, S.H. Krishna VeniProblem statement: Malignant melanoma is the most frequent type of skin cancer. Its incidence has been rapidly increasing over the last few decades. Medical image segmentation is the most essential and crucial process in order to facilitate the characterization and visualization of the structure of interest in medical images. Approach: This study explains the task of segmenting skin lesions in … …American Journal of Applied Sciences, Vol. 8, Issue 11 · 7 Oct 2011 · 7,342 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Integrated Framework for Mixed Data Clustering Using Self Organizing MapHari Prasad Devaraj, M. PunithavalliProblem statement: Clustering plays an important role in data mining of large data and helps in analysis. This develops a vast importance in research field for providing better clustering technique. There are several techniques exists for clustering the similar kind of data. But only very few techniques exists for clustering mixed data items. This leads to the requirement of better … …Journal of Computer Science, Vol. 7, Issue 11 · 18 Aug 2011 · 7,304 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Rough Set based Gene Expression Clustering AlgorithmJ. Jeba Emilyn, K. RamarProblem statement: Microarray technology helps in monitoring the expression levels of thousands of genes across collections of related samples. Approach: The main goal in the analysis of large and heterogeneous gene expression datasets was to identify groups of genes that get expressed in a set of experimental conditions. Results: Several clustering techniques have been proposed for identifying gene signatures and … …Journal of Computer Science, Vol. 7, Issue 7 · 28 Jun 2011 · 6,830 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Efficient Unified K-Means Clustering Technique for Microarray Gene Expression DataP. Valarmathie, K. Dinakaran, T. RavichandranProblem statement: Using microarray techniques one could monitor the expressions levels of thousands of genes simultaneously. One challenge was how to derive meaningful insights into expressed data. This might be carried out by clustering techniques such as hierarchical and k-means, but most of the clustering techniques were largely heuristic in nature and are associated with some unresolved issues like how … …Journal of Computer Science, Vol. 7, Issue 7 · 28 Jun 2011 · 6,912 accessesView PDFCite
Research ArticleOpen accessIn the abstractAcoustic Model Adaptation for Indonesian Language Utterance Training SystemLinda Indrayanti, Yoshifumi Chisaki, Tsuyoshi UsagawaProblem statement: In order to build an utterance training system for Indonesian language, a speech recognition system designed for Indonesian is necessary. However, the system hardly works well due to the pronunciation variants of non-native utterances may lead to substitution/deletion error. This research investigated the pronunciation variant and proposes acoustic model adaptation to improve performance of the system. Approach: The … …Journal of Computer Science, Vol. 6, Issue 11 · 23 Oct 2010 · 7,168 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntegrated Clustering and Feature Selection Scheme for Text Documents.M. Thangamani, P. ThangarajProblem statement: Text documents are the unstructured databases that contain raw data collection. The clustering techniques are used group up the text documents with reference to its similarity. Approach: The feature selection techniques were used to improve the efficiency and accuracy of clustering process. The feature selection was done by eliminate the redundant and irrelevant items from the text document … …Journal of Computer Science, Vol. 6, Issue 5 · 31 May 2010 · 7,163 accessesView PDFCite