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79 results for “Region of Interest”
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Literature ReviewOpen accessIn the abstractEfficient Morphometric Techniques in Alzheimer’s Disease Detection: Survey and ToolsVinutha N., P. Deepa Shenoy, K.R. VenugopalThe development of advance techniques in the multiple fields such as image processing, data mining and machine learning are required for the early detection of Alzheimer’s Disease (AD) and to prevent the progression of the disease to the later stages. The longitudinal and cross sectional images of elderly subjects were obtained from the standard datasets like ADNI, OASIS, MIRIAD and … …Neuroscience International, Vol. 7, Issue 2 · 4 Oct 2017 · 8,454 accessesView PDFCite
Research ArticleOpen accessIn the abstractBibliometric Measures of Research Output of Lower Middle Income EconomiesEric Afful-Dadzie, Stephen Nabareseh, Petr KlimekTo understand the path of Lower Middle Income (LMIC) Economies towards economic stability as far as Science, Technology and Innovation are concerned; this paper conducts trend analysis of research output in science-based disciplines of the 55 countries in the LMIC bracket, grouped into the 6 continents of the world. Factors of interest across the six regions were (1) source of … …American Journal of Applied Sciences, Vol. 14, Issue 2 · 23 Feb 2017 · 7,318 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimal Planning and Design of an Environmentally Friendly Hybrid Energy System for Rural Electrification in IraqAli Saleh Aziz, Sara Ahmed KhudhierCurrent power systems create environmental effects because of the using of fossil fuels, specially coal, since CO2 is released to the atmosphere. Contrary to conventional energy sources, renewable energy sources produce a clean energy which is in general free of pollution, environmentally sustainable and technologically efficient. There is an increased interest in solar energy that can generate electricity with no … …American Journal of Applied Sciences, Vol. 14, Issue 1 · 26 Jan 2017 · 7,807 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassification of Breast Tumor in Mammogram Images Using Unsupervised Feature LearningAidarus M. Ibrahim, Baharum Baharudin, Abas Md Said, P. N. HashimahIn this study, we propose a learning-based approach using feature learning to minimize the manual effort required to extract features. Firstly, we extracted features from equally spaced sub-patches covering the input Region of Interest (ROI). The dimensionality of the extracted features is reduced using max-pooling. Furthermore, spherical k-means clustering coupled with max pooling (k-means-max pooling) is compared with well-known feature … …American Journal of Applied Sciences, Vol. 13, Issue 5 · 13 May 2016 · 7,503 accessesView PDFCite
Research ArticleOpen accessIn the abstractVehicle Detection in Aerial Traffic MonitoringDmitry Sincha, Mikhail Chervonenkis, Pavel SkribtsovThis work describes a cascade detection of vehicles in Unmanned Aerial Vehicle (UAV) images and videos. There are some new approaches used in the detection. In particular, the Region of Interest (ROI) search is not only based on GIS and navigation data, but also employs visual method based on rapid image segmentation and road detection. The work also suggests doing … …American Journal of Applied Sciences, Vol. 13, Issue 1 · 11 Jan 2016 · 7,932 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Study about Impact of Customer Characteristics on Online Purchase Behavior in Indian ContextUpasana Kanchan, Naveen KumarThe recent growth of e-commerce and the consumer’s increasing interest in purchasing over the net have significantly changed the landscape of Indian retail market. Today customers are inclined to accept the changes and keep their eyes on the benefits they can obtain from online retailers. The recent example of changing consumer purchase pattern is the flipkart’s ‘Big Billion day’ Sale. … …American Journal of Economics and Business Administration, Vol. 7, Issue 3 · 7 Oct 2015 · 8,395 accessesView PDFCite
Research ArticleOpen accessIn the abstractMeasurements of Mitral Annular Displacement in 2D Echocardiography ImagesFaten A. Dawood, Rahmita W. Rahmat, Suhaini B. Kadiman et al.Mitral Annular Displacement (MAD) in echocardiography has been described as a variation in mitral annulus position between the end-diastolic and the end-systolic in a complete cardiac cycle. It could be used as a rapid and reproducible method of determining the LV global systolic function and could be an easily detectable index for wall motion abnormalities. In this study, a computational … …American Journal of Applied Sciences, Vol. 12, Issue 5 · 4 Jul 2015 · 6,853 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Innovative Approach for Person Identification by Detection and Extraction of Optic Disc from Retina and Concha from EarC. Malathy, A. K. Sadiq, K. AnnapuraniPerson identification based on unimodal biometric system suffers from noise, intra class similarity, non universality, distinctiveness and spoof attacks. To alleviate the problem faced in unimodal biometric system biometric traits are combined in multimodal biometric system. In this study a new approach, to improve the recognition rate, reduces computational complexity and storage space is presented. Distinct method of person identification … …Journal of Computer Science, Vol. 11, Issue 1 · 22 Sep 2014 · 6,559 accessesView PDFCite
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 PDFCite
Research ArticleOpen accessIn the abstractFUSION OF COLOR AND MODIFIED WEBER’S LAW DESCRIPTOR BASED HUMAN SKIN DETECTIONC. Prema, D. ManimegalaiSkin detection in images or videos plays a vital role in a wide range of image processing applications like face detection, face tracking, gesture analysis, human-computer interaction etc. Due to its high processing speed and invariant against rotation, it has received significant interest in pattern recognition and computer vision. The robustness of skin detection using color information depends on real … …Journal of Computer Science, Vol. 10, Issue 9 · 19 Apr 2014 · 6,402 accessesView PDFCite