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37 articles for “computer vision methods”
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Research ArticleOpen accessIn the abstractSHAPE RETRIEVAL THROUGH MAHALANOBIS DISTANCE WITH SHORTEST AUGMENTING PATH ALGORITHMS. Muruganathan, N. Devarajan, D. Chitra, T. ManigandanShape matching and object recognition plays an vital role in the computer vision. The shape matching is difficult in case of the real world images like mpeg database images since the real world images has the internal and external contours. The Mahalanobis distance based shape context approach is proposed to measure similarity between shapes and exploit it for shape retrieval. … …Journal of Computer Science, Vol. 10, Issue 4 · 3 Dec 2013 · 6,856 accessesView PDFCite
Research ArticleOpen accessIn the abstractTHE ACCESS CONTROL SYSTEM BASED ON LINEAR DISCRIMINANT ANALYSISWidodo BudihartoFace recognition represents an important computer vision domain that has been researched in the last decades. The objective of this research is to develop an Access Control System based on Face Recognition using Linear Discriminant Analysis (LDA) method. The analysis is done by making an application of face recognition using LDA for extracting features of the face and the output … …Journal of Computer Science, Vol. 10, Issue 3 · 29 Nov 2013 · 6,936 accessesView PDFCite
Research ArticleOpen accessIn the abstractA REVIEW ON THE DEVELOPMENT OF INDONESIAN SIGN LANGUAGE RECOGNITION SYSTEMSutarman, Mazlina Abdul Majid, Jasni Mohamad ZainSign language is mainly employed by hearing-impaired people to communicate with each other. However, communication with normal people is a major handicap for them since normal people do not understand their sign language. Sign language recognition is needed for realizing a human oriented interactive system that can perform an interaction like normal communication. Sign language recognition basically uses two approaches: … …Journal of Computer Science, Vol. 9, Issue 11 · 27 Sep 2013 · 8,691 accessesView PDFCite
Research ArticleOpen accessIn the abstractThree Dimensional Reconstruction of Human Heart Surface from Single Image-View Under Different Illumination ConditionsAqeel Al-Surmi, Rahmita Wirza, Mohd Zamrin Dimon et al.The 3D reconstruction from a single-view image is a longstanding issue in computer vision literature, especially in the medical field. Traditional medical imaging techniques that provide information about the heart and which are used to reconstruct the heart model, include Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) images. However, in some cases, they are not available and the applications … …American Journal of Applied Sciences, Vol. 10, Issue 7 · 17 Jun 2013 · 7,613 accessesView PDFCite
Research ArticleOpen accessIn the abstractSoft Clustering Based Exposition to Multiple Dictionary Bag of WordsK. S. Sujatha, B. VinodObject classification is a highly important area of computer vision and has many applications including robotics, searching images, face recognition, aiding visually impaired people, censoring images and many more. A new common method of classification that uses features is the Bag of Words approach. In this method a codebook of visual words is created using various clustering methods. For increasing … …Journal of Computer Science, Vol. 8, Issue 12 · 20 Dec 2012 · 6,389 accessesView PDFCite
Research ArticleOpen accessIn the abstractMedical Image Classification Using Genetic Optimized Elman NetworkT. Baranidharan, D. K. GhoshProblem statement: Advancements in the internet and digital images have resulted in a huge database of images. Most of the current search engines found in the web depends only on images that can be retrieved using metadata, which generates a lot of unwanted results in the results got. Content-Based Image Retrieval (CBIR) system is the utilization of computer vision techniques … …American Journal of Applied Sciences, Vol. 9, Issue 1 · 24 Nov 2011 · 7,717 accessesView PDFCite
Research ArticleOpen accessIn the abstractQuaternion Photometric Stereo for Rotation Invariant Surface Texture ClassificationBalakrishnan Sathyabama, Srinivan Raju, Abhaikumar VaradhanProblem statement: The escalating growth of computer vision applications has increased the need for faster and more accurate image analysis algorithms. One application of image analysis that has been studied for a long time is texture analysis. The majority of existing texture analysis methods makes the explicit or implicit assumption that texture images are acquired from the same viewpoint. This … …American Journal of Applied Sciences, Vol. 8, Issue 10 · 20 Aug 2011 · 6,499 accessesView PDFCite
Research ArticleOpen accessIn the abstractContent Based Image Retrieval using Novel Gaussian Fuzzy Feed Forward-Neural NetworkC. Ramesh Babu Durai, V. DuraisamyProblem statement: With extensive digitization of images, diagrams and paintings, traditional keyword based search has been found to be inefficient for retrieval of the required data. Content-Based Image Retrieval (CBIR) system responds to image queries as input and relies on image content, using techniques from computer vision and image processing to interpret and understand it, while using techniques from information … …Journal of Computer Science, Vol. 7, Issue 7 · 28 Jun 2011 · 7,326 accessesView PDFCite
Research ArticleOpen accessIn the abstractAccurate Orthogonal Circular Moment Invariants of Gray-Level ImagesKhalid Mohamed HosnyProblem statement: Orthogonal circular moments of gray level images such as Zernike, pseudo Zernike and Fourier-Mellin moments are widely used in different applications of image processing, pattern recognition and computer vision. Computational processes of these moments and their translation and scale invariants still an open area of research. Approach: a unified methodology is presented for efficient and accurate computation of … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 7,787 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Approach for 3D Range Image Segmentation using Gradient MethodDina A. Hafiz, Walaa M. Sheta, Sahar Bayoumi, Bayumy A.B. YoussefProblem statement: Segmentation of 3D range images is widely used in computer vision as an essential pre-processing step before the methods of high-level vision can be applied. Segmentation aims to study and recognize the features of range image such as 3D edges, connected surfaces and smooth regions. Approach: This study presents new improvements in segmentation of terrestrial 3D range images … …Journal of Computer Science, Vol. 7, Issue 4 · 4 Apr 2011 · 19,592 accessesView PDFCite