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160 results for “Image Recognition”
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Research ArticleOpen accessAll words, across the recordA Deep Convolutional Neural Wavelet Network for Classification of Medical ImagesRamzi Ben Ali, Ridha Ejbali, Mourad ZaiedThis work present a new solution for medical image classification using the Neural Network (NN) and Wavelet Network (WN) based on the Fast Wavelet Transform (FWT) and the Adaboost algorithm. This method is divided in two stages: The learning stage and the classification stage. The first consists to extract the features using the FWT based on the MultiResolution Analysis (MRA). … …Journal of Computer Science, Vol. 14, Issue 11 · 11 Nov 2018 · 7,620 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordFall Detection Using the Histogram of Oriented Gradients and Decision-Based FusionMohamed Maher Ben Ismail, Arwa AlGabas, Ouiem BchirAs the number of fall incidents among elderly people and patients are continuously growing, researches boosted their researches to propose efficient automatic fall detection systems. In particular, they formulated the fall detection problem as a supervised learning task where some visual features are extracted from the video frames and used to automatically identify the position of a human as “Fall” … …Journal of Computer Science, Vol. 16, Issue 2 · 26 Feb 2020 · 7,500 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordSupport Vector Machine Based Red Palm Weevil (Rynchophorus Ferrugineous, Olivier) Recognition SystemGhulam Mubashar Hassan, Saleh Mufleh Al-SaqerProblem statement: Red palm weevil (Rynchophorus Ferrugineous, Oliveir) is an insect which threatens the existence of palm trees. The proposed research is to develop a RPW identification system using Support Vector Machine method. The problem is to extract image features from an image and using SVM to find out the existence of RPW in an image. Approach: Images are snapped … …American Journal of Agricultural and Biological Sciences, Vol. 7, Issue 1 · 24 Jan 2012 · 7,734 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordArtificial Neural Networks Based Red Palm Weevil (Rynchophorus Ferrugineous, Olivier) Recognition SystemSaleh Mufleh Al-Saqer, Ghulam Mubashar HassanProblem statement: The most dangerous insect for the existence of palm trees in entire world is Red Palm Weevil (scientifically named as Rynchophorus Ferrugineous, Oliveir). The proposed research is conducted to develop an identification system for Automated Wireless Red Palm Weevil Detection and exterminated. The core idea of the proposed research is to develop software that can utilize image processing … …American Journal of Agricultural and Biological Sciences, Vol. 6, Issue 3 · 4 Aug 2011 · 9,187 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordPedestrian Detection in RGB-D Data Using Deep AutoencodersPavel Aleksandrovich Kazantsev, Pavel Vyacheslavovich SkribtsovRecent popularity of RGB-D sensors mostly comes from the fact that RGB-images and depth maps supplement each other in machine vision tasks, such as object detection and recognition. This article addresses a problem of RGB and depth data fusion for pedestrian detection. We propose pedestrian detection algorithm that involves fusion of outputs of 2D- and 3D-detectors based on deep autoencoders. … …American Journal of Applied Sciences, Vol. 12, Issue 11 · 17 Nov 2015 · 6,812 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordHandwritten Characters Extraction from Form Based on Line Shape CharacteristicsAli Qusay Al-Faris, Dzulkifli Mohamad, Umi Kalthum Ngah, Nor Ashidi Mat IsaProblem statement: Data entry form is a convenient and successful tool for information collection by filling in the sheets using pen and handwriting. One of the most important fields in these forms is the data filled boxes. Extracting the handwriting from the data entry forms is important for many purposes such as in documenting and archiving. The extraction process is … …Journal of Computer Science, Vol. 7, Issue 12 · 15 Oct 2011 · 7,934 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordGray-Level Co-occurrence Matrix Bone Fracture DetectionHum Yan Chai, Lai Khin Wee, Tan Tian Swee et al.Problem statement: Currently doctors in orthopedic wards inspect the bone x-ray images according to their experience and knowledge in bone fracture analysis. Manual examination of x-rays has multitude drawbacks. The process is time-consuming and subjective. Approach: Since detection of fractures is an important orthopedics and radiologic problem and therefore a Computer Aided Detection(CAD) system should be developed to improve the … …American Journal of Applied Sciences, Vol. 8, Issue 1 · 31 Jan 2011 · 8,968 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAutomatic Mouth Localization Using Edge ProjectionMohamed RizonProblem statement: This study presented algorithms to detect mouth from color and intensity images. Approach: First, this algorithm detected the face region in the image and extracts intensity valleys from the face region. Next, the algorithm extracted iris candidates from the valleys and computed the costs for each pair of iris candidates. Finally, a pair of iris candidates was selected … …Journal of Computer Science, Vol. 6, Issue 7 · 31 Jul 2010 · 6,877 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordIndoor Navigation and Localization for Visually impaired people Using Weighted Topological MapMd Jan Nordin, Abbas M. AliProblem Statement: Image base methods are a new approach for solving problems of navigations for visually impaired people. Approach: The study introduced a new approach of an electronic cane for blind people using the environment represented as a weighted topological graph instead, each node contains images taken at some poses in the work space, instead of building a metric (3D) … …Journal of Computer Science, Vol. 5, Issue 11 · 30 Nov 2009 · 7,420 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordThe Performance of Maximum Likelihood, Spectral Angle Mapper, Neural Network and Decision Tree Classifiers in Hyperspectral Image AnalysisHelmi Zulhaidi Mohd Shafri, Affendi Suhaili, Shattri MansorSeveral classification algorithms for pattern recognition had been tested in the mapping of tropical forest cover using airborne hyperspectral data. Results from the use of Maximum Likelihood (ML), Spectral Angle Mapper (SAM), Artificial Neural Network (ANN) and Decision Tree (DT) classifiers were compared and evaluated. It was found that ML performed the best followed by ANN, DT and SAM with … …Journal of Computer Science, Vol. 3, Issue 6 · 30 Jun 2007 · 142,381 accessesView PDFCite