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10 results for “Vector Descriptor”
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Research ArticleOpen accessIn the keywordsA Hybrid Feature Extraction Method for Accuracy Improvement in “Aksara Lontara” TranslationIntan Sari Areni, Asyraful Insan Asry, IndrabayuAn Optical Character Recognition (OCR) of “Aksara Lontara” has been constructed using a novel combination of feature extraction methods in this study. The ancient font of “Lontara” is then translated into Bahasa Indonesia to help non-native language to learn this language. Two powerful extraction feature methods, i.e., Modified Direction Feature (MDF) and Fourier Descriptor (FD) are stages combined to deal … …Journal of Computer Science, Vol. 13, Issue 9 · 27 Aug 2017 · 8,851 accessesView PDFCite
Research ArticleOpen accessIn the keywordsIdentification of Proliferative Diabetic Retinopathy Using Texture SegmentationG. Tamil Pavai, S. Tamil SelviIn this study, it is proposed fast texture segmentation of detection of proliferative diabetic retinopathy. proliferative diabetic retinopathy is characterized by the revascularization on the optic disc or on the retinal area or both, as a result of diabetes mellitus. It may leads to the blindness if it is not detected and treated in proper time. This study proposes a … …Journal of Computer Science, Vol. 9, Issue 3 · 26 Apr 2013 · 6,319 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA NEW METHOD FOR 3D SHAPE INDEXING AND RETRIEVAL IN LARGE DATABASE BY USING THE LEVEL CUTA. Lakehal, M. Elkhal, K. SatoriIn this study, we propose a new method for indexing and retrieval of 3D models in large databases based on binary images extracted from the 3D object called &#34level cut&#34 LC. These cuts are obtained by the intersection of the set of the plans with the 3D object. A set of equidistant parallel plans generates by the intersection with the … …Journal of Computer Science, Vol. 10, Issue 10 · 22 May 2014 · 6,824 accessesView PDFCite
Research ArticleOpen accessIn the abstractEpsilon-Insensitive Primal Loss With Support Vector Machine for Robust Cotton Leaf Disease ClassificationPavana Kumar Eramachetty Dhanajayalu, Malathi Sivasamy, Chitveli Siva Balaji YadavCotton diseases significantly reduce both yield and quality of crops, making early and accurate identification of the disease crucial for effective prevention and control. However, achieving a balance between lightweight models and precise classification of cotton diseases remains challenging. This difficulty arises primarily from the dispersed nature of disease symptoms and interference from noisy backgrounds, which complicate the detection process. … …Journal of Computer Science, Vol. 22, Issue 6 · 5 Aug 2026 · 755 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Analysis of LDA, AdaBoost and Ensemble Bag Classifiers for Automatically Recognizing Nine Common Facial ExpressionsM.D. Sumithra, M. Abdul RahimanFacial expression recognition holds a prominent role in today’s digital world with more Human –Computer Interaction happening in day to day life. Successful identification of facial expressions needs extraction of descriptive attributes from the active facial patches and accurate classification. This paper is presented with the comparison of three multi class classifiers namely Linear Discriminant Analysis, AdaBoost and Ensemble bag. … …Journal of Computer Science, Vol. 14, Issue 9 · 27 Sep 2018 · 7,787 accessesView PDFCite
Research ArticleOpen accessIn the abstractCombining SURF and MSER along with Color Features for Image Retrieval System Based on Bag of Visual WordsHeba A. ElnemrContent-Based Image Retrieval (CBIR) has received an extensive attention from researchers due to the rapid growing and widespread of image databases. Despite the massive research efforts consumed for CBIR, the completely satisfactory results have not yet been attained. In this article, we offer a new CBIR technique that relies on extracting Speeded Up Robust Features (SURF) and Maximally Stable Extremal … …Journal of Computer Science, Vol. 12, Issue 4 · 9 May 2016 · 7,704 accessesView PDFCite
Research ArticleOpen accessIn the abstract3D Object Recognition using Multiclass Support Vector Machine-K-Nearest Neighbor Supported by Local and Global FeatureC. Chandrasekar, R. MuralidharanProblem statement: In this study, a new method has been proposed for the recognition of 3D objects based on the various views of the object. The proposed method is evolved from the two promising methods available for object recognition. Approach: The proposed method uses both the local and global features extracted from the images. For feature extraction, Hu’s Moment invariant … …Journal of Computer Science, Vol. 8, Issue 8 · 4 Aug 2012 · 7,285 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 abstractA Comparative Study of Data Mining approaches for Bag of Visual Words Based Image ClassificationSahar Abd El Hameed Mokhtar, Heba Ahmed ElnemrImage classification is one of the most significant and challenging tasks in computer vision. The goal of this task is to build a system that is capable to reveal an image label within a collection of different image categories. This paper presents and discusses the application of various data mining techniques for image classification based on Bag of Visual Words … …Journal of Computer Science, Vol. 14, Issue 1 · 12 Jan 2018 · 7,983 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordSymbolic Aggregate approXimation-Local Binary Pattern Feature Descriptor Combination for Automatic Facial Expression RecognitionSumithra M.D., M. Abdul RahimanAutomatic identification of facial expression is a significant research area which is anticipated for real time processing in Human-Computer Interaction domain. Along with an efficient classifier for assigning the class label to each of the input face image, it is very necessary to have a strong feature vector for training the classifier. This paper proposes an effectual combination of Local … …Journal of Computer Science, Vol. 15, Issue 1 · 8 Jan 2019 · 7,513 accessesView PDFCite