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169 results for “Images Classification”
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Research ArticleOpen accessIn the abstractIrrigated and Non-Irrigated Wheat Classification Based on Cultivation Calendar by IHS AlgorithmAshourloo Davood, Matkan Ali Akbar, Aghighi Hossain et al.In order to extract the wheat the bi-temporal Spot images were ordered based on cultivation calendar of wheat and other crops. As the crops reflection properties showed many variations, for precise classification many signatures are needed. Appropriate bands for classification were selected by divergence algorithm. These bands converted to IHS and for recognizing the reflection changes in the cultivated areas, … …American Journal of Agricultural and Biological Sciences, Vol. 3, Issue 3 · 30 Sep 2008 · 7,224 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Innovative Technique of Texture Classification and Comparison Based on Long Linear PatternsV. Vijaya Kumar, B. Eswara Reddy, U. S.N. Raju, K. Chandra SekharanThe present paper proposes a method of texture classification based on long linear patterns. Linear patterns of long size are bright features defined by morphological properties: linearity, connectivity, width and by a specific Gaussian-like profile whose curvature varies smoothly along the crest line. The most significant information of a texture often appears in the occurrence of grain components. That’s why … …Journal of Computer Science, Vol. 3, Issue 8 · 28 Aug 2007 · 6,726 accessesView PDFCite
Research ArticleOpen accessIn the abstractFace Recognition using Eigenfaces and Neural NetworksMohamed Rizon, Muhammad Firdaus Hashim, Puteh Saad et al.In this study, we develop a computational model to identify the face of an unknown person’s by applying eigenfaces. The eigenfaces has been applied to extract the basic face of the human face images. The eigenfaces is then projecting onto human faces to identify unique features vectors. This significant features vector can be used to identify an unknown face by … …American Journal of Applied Sciences, Vol. 3, Issue 6 · 30 Jun 2006 · 6,943 accessesView PDFCite
Research ArticleOpen accessIn the abstractNeurocomputing Device for Image Processing and ClassificationRashad J. RasrasThis article is concerned with problems of construction of specialized computing device for image processing and classification. The device may be used for classification of objects images in conditions of various image scales of the same object. The device may be realized by neurochips technology. …Journal of Computer Science, Vol. 1, Issue 2 · 19 Oct 2005 · 4,842 accessesView PDFCite
Research ArticleOpen accessIn the abstractNON-COOPERATIVE IRIS RECOGNITION: A NOVEL APPROACH FOR SEGMENTATION AND FAKE IDENTIFICATIONM. Rajeev Kumar, M. Dilsath Fathima, K. Kiruthika, M. S. SaravananIris recognition, the ability to recognize and distinguish individuals by their pattern, is the most reliable biometric in terms of recognition and identification performance. However, performance of these systems is affected by the heterogeneous images (regarding focus, contrast, or brightness) and with several noise factors (iris obstruction and reflection) when the cooperation is not expectable from the subject. Current Iris … …Journal of Computer Science, Vol. 9, Issue 9 · 6 Aug 2013 · 6,750 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Approach to Damage Detection in Composite Body Structures Using Time Compensated Hyperspectral Image Analysis TechniqueMahmoud Zaki IskandaraniA novel approach to damage detection in composite car body structures using hyperspectral image index analysis algorithm is presented and discussed. The adapted technique allows the monitoring and analysis of a components structure based on correlation between time spaced thermal images. The technique produces several organized tables resulting from image fusion and frame deviation pixel redistribution calculations, which results in … …American Journal of Applied Sciences, Vol. 10, Issue 2 · 1 Feb 2013 · 7,271 accessesView PDFCite
Research ArticleOpen accessIn the abstractBoosting Kernel Discriminative Common Vectors for Face RecognitionC. Lakshmi, M. PonnavaikkoProblem statement: Kernel discriminative common vector (KDCV) was one of the most effective non-linear techniques for feature extraction from high dimensional data including images and text data. Approach: This study presented a new algorithm called Boosting Kernel Discriminative Common Vector (BKDCV) to further improve the overall performance of KDCV by integrating the boosting and KDCV techniques. Results: In BKDCV, the … …Journal of Computer Science, Vol. 5, Issue 11 · 30 Nov 2009 · 6,579 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Genetic Algorithm for the Segmentation of Known Touching ObjectsEdgar Scavino, Dzuraidah Abdul Wahab, Hassan Basri et al.Problem statement: Segmentation is the first and fundamental step in the process of computer vision and object classification. However, complicate or similar colour pattern add complexity to the segmentation of touching objects. The objective of this study was to develop a robust technique for the automatic segmentation and classification of touching plastic bottles, whose features were previously stored in a … …Journal of Computer Science, Vol. 5, Issue 10 · 31 Oct 2009 · 7,128 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Use of Remote Sensing Techniques in Detecting and Predicting Forest Vegetation Change Using MODIS Satellite Data, Golestan, IranAkram Karimi, Sara Abdollahi, Hamid Reza Kabiri Balajadeh et al.It is so important to be aware of quantitative and qualitative characteristics of changes for the environment, land use planning and sustainable development. Detecting the changes in the condition of an issue is done by time difference observations. Change detection refers to the process of detecting time changes of an object through different time observations. The detection of changes by … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 1 · 30 Mar 2018 · 8,294 accessesView PDFCite
Research ArticleOpen accessIn the abstractLong-Term Changes in Mangrove Landscape of the Niger River Delta, NigeriaPing Wang, Aroloye O. Numbere, Gerardo R. CamiloThe Niger Delta mangrove is the third largest in the world and the largest in Africa. Since the 1960s oil and gas exploration has become an important economic activity, resulting in significant alteration of the landscape via pollution, urbanization and invasion. Landsat images of six different years (1984, 1986, 2000, 2003, 2005 and 2007) were used to determine land cover … …American Journal of Environmental Sciences, Vol. 12, Issue 3 · 18 Jun 2016 · 8,844 accessesView PDFCite