5 results for “Fourier Descriptor”

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Research ArticleOpen accessPhrase in the titleThe Classification Model of Sandals Dhiif’s Product with Back Propagation and Fourier Descriptors MethodWikaria Gazali, Haryono Soeparno, Ngarap Im ManikClassification is a vital process in every industry. While manual classification is inefficient in terms of cost and time, the computerized techniques offer better and faster solution on this matter. Fourier Descriptors is the mathematical formulas to save objects in functions of Fourier series. While back propagation is an Artificial Neural Network (ANN) method to recognize patterns and images through … …Journal of Computer Science, Vol. 9, Issue 2 · 2 Apr 2013 · 6,370 accessesView PDF Cite

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 PDF Cite

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 PDF Cite

Research ArticleOpen accessIn the abstractIdentification of Pecan Weevils through Image ProcessingS.M. Al-Saqer, P. Weckler, J. Solie et al.Abstract: Problem Statement: Pecan weevil is one of the most destructive pests of Oklahoma. The scope of this study is to develop a recognition system that can serve in a wireless imaging network for monitoring pecan weevils. Approach: The recognition methods used in this study are based on template matching. Five recognition methods were implemented: Normalized cross-correlation, Fourier descriptors, Zernike … …American Journal of Agricultural and Biological Sciences, Vol. 6, Issue 1 · 15 Dec 2010 · 8,775 accessesView PDF Cite

Research ArticleOpen accessIn the abstractRetrieval of Similar Shapes Under Affine Transform Using Affine Length ParameterizationA. Lakehal, O. El Beqqali, O. Ait ZemzamiProblem statement: In this study, a new descriptor for shape retrieval under affine transformations had been proposed; the affine length parameterization was used in this approach. Approach: The zero crossing of affine curvature was used to extract a descriptor of shapes in database. For each two successive zero crossing points we extract two parameters: the first parameter was a maximal … …Journal of Computer Science, Vol. 6, Issue 10 · 30 Aug 2010 · 7,255 accessesView PDF Cite