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12 articles for “image descriptors”
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Research ArticleOpen accessEvery word in the titleImage Analysis with Legendre Moment DescriptorsAmy Chiang, Simon LiaoIn this research, a numerical integration method is proposed to improve the computational accuracy of Legendre moments. To clarify the improved computation scheme, image reconstructions from higher order of Legendre moments, up to 240, are conducted. With the more accurately generated moments, the distributions of image information in a finite set of Legendre moments are investigated. We have concluded that … …Journal of Computer Science, Vol. 11, Issue 1 · 15 Sep 2014 · 7,360 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Robust Recognition System for Pecan Weevil using Artificial Neural NetworksSaleh Mufleh Al-SaqerProblem statement: Pecan Weevil is a widely found pest among pecan trees and these pests are known to cause significant damage to the pecan trees resulting in enormous annual losses to pecan growers. Traditional identification techniques for pecan weevil include traps with pheromones to detect the infestation of these pests. However, these traditional methods require expensive labor hours to set-up … …American Journal of Applied Sciences, Vol. 9, Issue 9 · 14 Jul 2012 · 6,831 accessesView PDFCite
Research ArticleOpen accessIn the abstractOmni-Zernike Algorithm for Template Matching in Catadioptric SystemAnisse Khald, Amina Radgui, Mohammed RzizaImage descriptor have been widely applied in many computer visions and image understanding applications including pattern recognition, robotic, video surveillance, camera calibration and image retrieval, etc. Invariants features are robust when apply several transformations of photometry (illumination, blur, noise, JPEG compression) and transformations of geometry (scaling, rotation, translation and viewpoint change). In this study, we present representation and matching region … …Journal of Computer Science, Vol. 16, Issue 12 · 30 Dec 2020 · 6,501 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 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 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 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
Research ArticleOpen accessIn the abstractA Reliable Identification System for Red Palm WeevilSaleh Mufleh Al-SaqerProblem statement: Red Palm Weevil (RPW) is a widely found pest among palm trees and is known to cause significant losses every year to palm growers. Existing identification techniques for RPW comprise of using traps with pheromones to detect these pests. However, these traditional methods are labor-intensive, expensive to implement and unreliable for early detection of RPW infestation. Early detection … …American Journal of Applied Sciences, Vol. 9, Issue 8 · 18 Jun 2012 · 7,018 accessesView PDFCite
Research ArticleOpen accessIn the abstractFixed Representative Colors Feature Extraction Algorithm for Moving Picture Experts Group-7 Dominant Color DescriptorAhmed Ibrahim, Ala'a Al-Zou'bi, Raed Sahawneh, Maria MakhadmehProblem statement: MPEG-7 has defined a set of color descriptors for the multimedia contents; one of these descriptors is the Dominant Color Descriptor (DCD). The DCD adopted the Generalized Lloyd Algorithm (GLA) as a feature extraction technique. However, using this algorithm in image retrieval systems may produce perceptually irrelevant images in the ranked results. Approach: In this study, we proposed … …Journal of Computer Science, Vol. 5, Issue 11 · 30 Nov 2009 · 7,542 accessesView PDFCite
Research ArticleOpen accessIn the abstract2D Object Description with Discrete SegmentsNbhan D. Salih, David C.L. Ngo, Hakim Mellah2D object shape description has gained considerable attention in field of content-based image retrieval (CBIR) and in various applications that concerned with the shapes of objects. Object shape descriptors in the literature are commonly classified into two forms: contour-based and region-based. In this paper we present our contour-based shape representation and description, where the object shape is represented and describe … …Journal of Computer Science, Vol. 2, Issue 7 · 31 Jul 2006 · 6,540 accessesView PDFCite