83 results for “local features”

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Research ArticleOpen accessIn the abstractCOMPUTER AIDED SEGMENTATION OF BRAIN TISSUES USING SOFT COMPUTING TECHNIQUESD. Ramkumar, I. Jacob Raglend, K. BatriIn this study, an efficient computer aided classification of brain tissue in to Gray Matter (GM), White Matter (WM) and Cerebro-Spinal Fluid (CSF) is proposed. The proposed work consists of the following sub blocks like denosing, feature extraction and Classifier. This initial partition is performed by ANFIS after extracting the textural features like local binary pattern and histogram features. The … …American Journal of Applied Sciences, Vol. 11, Issue 6 · 17 Apr 2014 · 6,668 accessesView PDF Cite

Research ArticleOpen accessIn the abstractArabic Speaker Recognition: Babylon Levantine Subset Case StudyMansour Alsulaiman, Youssef Alotaibi, Muhammad Ghulam et al.Problem statement: Researchers on Arabic speaker recognition have used local data bases unavailable to the public. In this study we would like to investigate Arabic speaker recognition using a publically available database, namely Babylon Levantine available from the Linguistic Data Consortium (LDC). Approach: Among the different methods for speaker recognition we focus on Hidden Markov Models (HMM). We studied the … …Journal of Computer Science, Vol. 6, Issue 4 · 30 Apr 2010 · 7,246 accessesView PDF Cite

Research ArticleOpen accessIn the abstractLand Cover Change Detection Using Texture AnalysisXiaofeng Wu, Fen Yang, Roly LishmanProblem statement: It is an important task to detect land cover changes from remotely sensed data for environmental monitoring. Although there are some applications of visual textures to the land use, they are limited to a few land cover categories with the application of one texture measure. Since land cover types are complex and often the integration of various objects, … …Journal of Computer Science, Vol. 6, Issue 1 · 31 Jan 2010 · 8,203 accessesView PDF Cite

Research ArticleOpen accessIn the abstractConcentration and Physicochemical Properties of Chitosan Derivatives Determine the Induction of Defense Responses in Roots and Leaves of Tobacco (Nicotiana tabacum) PlantsAlejandro B. Falcón-Rodríguez, Juan C. Cabrera, Eduardo Ortega, Miguel Ángel Martínez-TéllezProblem statement: The chitosan derivatives promote diverse defensive responses in plants, which are affected by chitosan chemical features and concentration. Glucanase (EC 3.2.1.6), Phenylalanine Ammonia-Lyase (PAL, EC 4.3.1.5) and peroxidase (POD, EC 1.11.1.6) are key enzymes in tobacco defense responses. Thus, the aim of this study was to know the behavior of their enzymatic activity in leaves and roots of … …American Journal of Agricultural and Biological Sciences, Vol. 4, Issue 3 · 30 Sep 2009 · 9,270 accessesView PDF Cite

Research ArticleOpen accessIn the abstractAutomatic Detection of Exudates in Retinal Images using Region-Based, Neighborhood and Block OperationKittipol Wisaeng, Worawat Sa-NgiamviboolExudates detection is one of the research areas attracting great attention of physicians and scientists. A region-based, neighborhood, block operation and optimal global thresholding are proposed as new methods to exudates detection. The exudates are coarse and fine segmentation following preprocessing steps, i.e., color mapping, image contrast enhancement, fuzzy filtering and optic disc localization. To classify the retinal images into … …Journal of Computer Science, Vol. 14, Issue 4 · 21 Feb 2018 · 7,987 accessesView PDF Cite

Research ArticleOpen accessIn the abstractVisual Tracking using Invariant Feature DescriptorLee-Yeng Ong, Siong-Hoe Lau, Voon-Chet KooThe process of identifying the state of an object in a video sequence is referred as visual tracking. It is mainly achieved by using the appearance information from a reference image to recognize the similar characteristics from the other images. Since a digital image is built-up with rows and columns of pixels that are represented with finite set of digital … …American Journal of Applied Sciences, Vol. 14, Issue 9 · 21 Sep 2017 · 7,721 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Unified Approach for the Shear Buckling Design of Structural Glass Walls with Non-Ideal RestraintsChiara Bedon, Claudio AmadioIn this study, a unified design approach is assessed and proposed for the shear buckling verification of structural glass walls supported by non-ideal restraints. Based on the current trends of practice in buildings, the effect of (i) adhesive joints, (ii) metal frames with interposed adhesive joints or (iii) point mechanical connectors on the actual shear buckling behavior of the examined … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 1 · 22 Jan 2016 · 8,292 accessesView PDF Cite

EditorialOpen accessIn the abstractCommentary-How do we Improve Training for Receptor Research?Marilee Ann BenoreThis issue of the American Journal of Biochemistry and Biotechnology features articles about receptor-ligand interactions that are critical to the wellbeing of all living organisms. The importance of the field of receptor research is supported by the large number of articles published in journals, the numerous specialty journals, the international conferences and the percentage of legal drugs on the market … …American Journal of Biochemistry and Biotechnology, Vol. 11, Issue 4 · 8 Dec 2015 · 8,058 accessesView PDF Cite

Research ArticleOpen accessIn the abstractENSURING EFFICIENCY CONTROL OF INSTITUTIONAL ENVIRONMENT OF THE CLUSTERNina Ivanovna Larionova, Tatiana Valerievna Yalyalieva, Dmitry Leonidovich NapolskikhAs experience of the developed countries shows, the best solutions to the problems related to ensuring competitiveness of enterprises can be found within clusters. Drawing up mechanisms for government regulation of the cluster will facilitate formulation of strategies and plans of cluster development which is an important competitive advantage of the modern economy. The purpose of this study is to … …American Journal of Applied Sciences, Vol. 11, Issue 9 · 22 Sep 2014 · 6,808 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA HYBRID FIREFLY ALGORITHM WITH FUZZY-C MEAN ALGORITHM FOR MRI BRAIN SEGMENTATIONMutasem K. AlsmadiImage processing is one of the essential tasks to extract suspicious region and robust features from the Magnetic Resonance Imaging (MRI). A numbers of the segmentation algorithms were developed in order to satisfy and increasing the accuracy of brain tumor detection. In the medical image processing brain image segmentation is considered as a complex and challenging part. Fuzzy c-means is … …American Journal of Applied Sciences, Vol. 11, Issue 9 · 10 Sep 2014 · 8,081 accessesView PDF Cite