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159 results for “Fusion”
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Research ArticleOpen accessEvery word in the titleMulti-View RGB-D Video Analysis and Fusion for 360 Degrees Unified Motion ReconstructionNaveed AhmedWe present a new method for capturing human motion over 360 degrees by the fusion of multi-view RGB-D video data from Kinect sensors. Our method is able to reconstruct the unified human motion from fused RGB-D and skeletal data over 360 degrees and create a unified skeletal animation. We make use of all three streams: RGB, depth and skeleton, along … …Journal of Computer Science, Vol. 13, Issue 12 · 23 Dec 2017 · 7,064 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleApplication of Morphological Component Analysis to Optical Image FusionGeorges Laussane Loum, Atiampo Kodjo Armand, Pandry Koffi Ghislain, Souleymane OumtanagaThe image fusion technique is widely used in remote sensing. Its purpose is to provide comprehensive information without arte facts by combining the partial information from different source images. In this study, we propose a new model of images fusion with very high spatial resolution. We use the separation capacities of the Morphological Component Analysis (MCA) to extract the smooth … …American Journal of Applied Sciences, Vol. 14, Issue 8 · 11 Aug 2017 · 7,729 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFUSION OF COLOR AND MODIFIED WEBER’S LAW DESCRIPTOR BASED HUMAN SKIN DETECTIONC. Prema, D. ManimegalaiSkin detection in images or videos plays a vital role in a wide range of image processing applications like face detection, face tracking, gesture analysis, human-computer interaction etc. Due to its high processing speed and invariant against rotation, it has received significant interest in pattern recognition and computer vision. The robustness of skin detection using color information depends on real … …Journal of Computer Science, Vol. 10, Issue 9 · 19 Apr 2014 · 6,397 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFeature Fusion Technique for Colour Texture Classification System Based on Gray Level Co-occurrence MatrixA. Suresh, K. L. ShunmuganathanIn this study, an efficient feature fusion based technique for the classification of colour texture images in VisTex album is presented. Gray Level Co-occurrence Matrix (GLCM) and its associated texture features contrast, correlation, energy and homogeneity are used in the proposed approach. The proposed GLCM texture features are obtained from the original colour texture as well as the first non … …Journal of Computer Science, Vol. 8, Issue 12 · 5 Jan 2013 · 6,615 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleCustomer-Made 3×3 Polymer Optical Fiber Splitter Based on Green Technology using Fusion TechniqueMohammad Syuhaimi Ab-Rahman, Nik Nur Syahirah Mohammad, Hadi Guna et al.Problem statement: Polymer Optical Fiber (POF) has many advantages making it the choice of today’s communication, especially in automotive industry. This communication requires low cost ways for much information to be sent simultaneously. Because of this, using Wavelength Division Multiplexing (WDM) concept, a low cost and green 3×3 POF splitter is fabricated. It is fabricated using cheap and easy-to-find tools … …Journal of Computer Science, Vol. 8, Issue 4 · 11 Feb 2012 · 6,842 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleRobust Speech Recognition Using Fusion Techniques and Adaptive FilteringS. A.R. Al-Haddad, S. A. Samad, A. Hussain et al.The study proposes an algorithm for noise cancellation by using recursive least square (RLS) and pattern recognition by using fusion method of Dynamic Time Warping (DTW) and Hidden Markov Model (HMM). Speech signals are often corrupted with background noise and the changes in signal characteristics could be fast. These issues are especially important for robust speech recognition. Robustness is a … …American Journal of Applied Sciences, Vol. 6, Issue 2 · 28 Feb 2009 · 7,993 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleIsolated Malay Digit Recognition Using Pattern Recognition Fusion of Dynamic Time Warping and Hidden Markov ModelsS.A.R. Al-Haddad, S.A. Samad, A. Hussain, K.A. IshakThis paper is presents a pattern recognition fusion method for isolated Malay digit recognition using Dynamic Time Warping (DTW) and Hidden Markov Model (HMM). The aim of the project is to increase the accuracy percentage of Malay speech recognition. This study proposes an algorithm for pattern recognition fusion of the recognition models. The endpoint detection, framing, normalization, Mel Frequency Cepstral … …American Journal of Applied Sciences, Vol. 5, Issue 6 · 30 Jun 2008 · 7,049 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleExpression of Thioredoxin-Fusion Proteins of α-Gliadin, γ-Gliadin and Low Molecular Weight Glutenin, from Wheat Endosperm and their Domains in EnterobacteriaClaudia G. Benitez-Cardoza, Yves Popineau, Jacques GueguenWheat seed storage proteins play a determining role in the viscoelastic properties of wheat gluten. The genes encoding α-gliadin, γ-gliadin and Low Molecular Weight glutenin and their N-central-repetitive and C-terminal domains from wheat endosperm had been subcloned into a thioredoxin expression system (pET102/D-Topo) and produced as fusion proteins in E. coli. The expression levels for each of the proteins varied … …American Journal of Infectious Diseases, Vol. 3, Issue 2 · 30 Jun 2007 · 6,746 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleHybrid CNN-Based Transformer Pipeline With Radiomic Fusion for Multi-Class Lung Cancer DetectionAanchal Vij, Kuldeep Singh Kaswan, Anand NayyarEarly detection of lung cancer remains challenging due to high intra-class variation and inter-class similarity in Computed Tomography (CT) images. In this paper, we propose a hybrid deep learning model that combines convolutional, attention-based, and transformer-guided representations to address these challenges in multi-class lung cancer classification. For deep feature extraction, we use the EfficientNetV2-S architecture augmented with a Convolutional Block … …Journal of Computer Science, Vol. 22, Issue 6 · 3 Jun 2026 · 1,528 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Multi-Scale Feature Extraction and Fusion Deep Learning Method for Classification of Wheat DiseasesSajjad Saleem, Adil Hussain, Nabila Majeed et al.Wheat is an important source of dietary fiber and protein that is negatively impacted by a number of risks to its growth. The difficulty of identifying and classifying wheat diseases is discussed with an emphasis on wheat loose smut, leaf rust, and crown and root rot. Addressing conditions like crown and root rot, this study introduces an innovative approach that … …Journal of Computer Science, Vol. 21, Issue 1 · 2 Jan 2025 · 6,344 accessesView PDFCite