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188 results for “segmentation”
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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 · 7,982 accessesView PDFCite
Research ArticleOpen accessIn the abstractArabic Static and Dynamic Gestures Recognition Using Leap MotionBasma Hisham, Alaa HamoudaAcross the world, several millions of people use sign language as their main way of communication with their society, daily they face a lot of obstacles with their families, teachers, neighbours, employers. According to the most recent statistics of World Health Organization, there are 360 million persons in the world with disabling hearing loss i.e. (5.3% of the world’s population), … …Journal of Computer Science, Vol. 13, Issue 8 · 12 Aug 2017 · 8,178 accessesView PDFCite
Research ArticleOpen accessIn the abstractExtracting Unique Personal Identification Number from IrisNenad Nestorovic, P.W.C. Prasad, Abeer Alsadoon, Amr ElchouemiThe aim of this research is to propose an enhanced model that significantly reduces the noise in the iris templates and thus present an efficient and reliable iris recognition system. Accuracy of Iris recognition system significantly depends on reducing noise at every stage of recognition process especially at eye image acquisition and iris segmentation stages. The proposed Iris recognition model … …American Journal of Applied Sciences, Vol. 14, Issue 7 · 7 Jul 2017 · 8,132 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomatic Recognition System of Vehicle Plate for Recording Incoming Vehicles to the University Campus and the OutgoingA.A. El-Harby, G.M. Behery, A.A. Al-DhawiAutomatic recognition of vehicle plate characters became a very important in our daily life because of the unlimited increase of vehicles that enter or leave a supervised area. This paper describes an automatic intelligent system that captures the images of vehicles and has the ability to recognize the plates of vehicles entering the university campus or leaving. A camera is … …American Journal of Applied Sciences, Vol. 14, Issue 4 · 12 Apr 2017 · 7,680 accessesView PDFCite
Research ArticleOpen accessIn the abstractMultiple Vehicle Tracking using Adaptive Gaussian Mixture Model and Kalman FilterFandy Setyo UtomoBased on data from the Central Statistics Agency (BPS) of the Republic of Indonesia in catalog Crime Statistics in 2014, the number of crimes of theft of motor vehicles has increased since 2010 until 2013. Recorded in 2013 the number reached 42.508 cases of theft. In this study, we made a prototype application using Adaptive Gaussian Mixture Models algorithms and … …American Journal of Applied Sciences, Vol. 13, Issue 12 · 22 Dec 2016 · 7,375 accessesView PDFCite
Research ArticleOpen accessIn the abstractBiofidel FEA Modeling of Customized Hybrid Biological Hip Joint Prostheses, Part I: Biomechanical Behavior of Implanted FemurRaffaella Aversa, Florian Ion T. Petrescu, Relly Victoria V. Petrescu, Antonio ApicellaBiofidel femur Finite Element Models have been developed using specific combination of Computer Tomography segmentation and solid modeling software tools able to represent bone physiology and structural behavior. These biofidel Finite Element Models (FEM) is used to evaluate the modification of the physiological stress distribution in a prosthesized femur and to assess new design criteria for the development of biomimetic … …American Journal of Biochemistry and Biotechnology, Vol. 12, Issue 4 · 16 Dec 2016 · 8,716 accessesView PDFCite
Literature ReviewOpen accessIn the abstractOverview and Future Opportunities of Sentiment Analysis Approaches for Big DataNurfadhlina Mohd Sharef, Harnani Mat Zin, Samaneh NadaliThe ability to exploit public sentiment in social media is increasingly considered as an important tool for market understanding, customer segmentation and stock price prediction for strategic marketing planning and manoeuvring. This evolution of technology adoption is energised by the healthy growth in big data framework, which caused applications based on Sentiment Analysis (SA) in big data to become common … …Journal of Computer Science, Vol. 12, Issue 3 · 26 Apr 2016 · 10,313 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Layout Based Detachment Approach for Extracting Content from WebpagesDeepa Chandran, Anna Saro VijendranEnormous amount of useful information presented in Internet is usually formatted for the web users. But it is a really complex task to extract the relevant data from various web sources. Recently, various approaches for the extraction of data from the webpages were proposed. This study provides a simple but effective approach, named Layout Based Detachment Approach (LBDA). The proposed … …American Journal of Applied Sciences, Vol. 12, Issue 6 · 25 Jul 2015 · 6,345 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Economic System for Screening of Diabetic Retinopathy Using Fundus ImagesG.S. Annie Grace Vimala, S. Kaja MohideenDelayed length of time of the diabetes may influence the tiny blood vessels of the retina bringing about Diabetic Retinopathy (DR). It is one of the major root causes of the blindness across the globe. Routine eye screening of patients with diabetes serves to discover DR at the early stage. The conventional visual assessment protocol is time consuming and laborious. … …OnLine Journal of Biological Sciences, Vol. 14, Issue 4 · 5 Jan 2015 · 6,909 accessesView PDFCite
Research ArticleOpen accessIn the abstractA NEW APPROACH OF LOCAL FEATURE DESCRIPTORS USING MOMENT INVARIANTSLee-Yeng Ong, Siong-Hoe Lau, Voon-Chet KooMoment invariants have been widely introduced in recognizing planar objects for a few decades. This is due the robustness of moment function in distinguishing the original identity of object under various two Dimensional (2D) transformations. A set of moments computed from a planar images, represents the global description of an object's shape and geometrical features of an image. Since global … …Journal of Computer Science, Vol. 10, Issue 12 · 29 Dec 2014 · 7,954 accessesView PDFCite