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40 articles for “image reduction”
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Research ArticleOpen accessIn the abstractBinary Merge Coding for Lossless Image Data CompressionN. Subhash Chandra, M. Bala Raju, M. Arya bahanu et al.Problem statement: Image processing applications were drastically increasing over the years. In such a scenario, the fact that, the digital images need huge amounts of disk space seems to be a crippling disadvantage during transmission and storage. So, there arises a need for data compression of images. Approach: This study proposed a novel technique called binary merge coding for lossless … …Journal of Computer Science, Vol. 5, Issue 5 · 30 May 2009 · 6,861 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetection of Plant Leaf Diseases Using K‒mean++ Intermeans Thresholding AlgorithmKittipol Wisaeng, Worawat Sa–NgiamviboolIn the field of agricultural information, the plant leaf disease detection is highly important for both farmer life and environment. To improve the accuracy of plant leaf disease detection and reduce the image processing time, the improved K‒mean++ clustering and intermeans thresholding method are proposed in this study. The proposed algorithms are used for training and testing diseases in plant … …Journal of Computer Science, Vol. 16, Issue 9 · 21 Sep 2020 · 6,750 accessesView PDFCite
Research ArticleOpen accessIn the abstractRecognition of Faces using Efficient Multiscale Local Binary Pattern and Kernel Discriminant Analysis in Varying EnvironmentSujata G. Bhele, V.H. MankarFace recognition involves matching face images with different environmental conditions. Matching face images with different environmental conditions is not a easy task. Also matching face images considering variations such as changing illumination, pose, facial expression and that with uncontrolled conditions becomes more difficult. This paper focuses on accurately recognizing face images considering all the above variations. The proposed system is … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 3 · 31 Aug 2017 · 8,132 accessesView PDFCite
Research ArticleOpen accessIn the abstractTrace Elements Distribution in the Brain of Stressed RatsZerrouk Kamal, Mohamed Najimi, Mohammed Chigr et al.Because of their ability to modulate the Gamma Aminobutyric Acid (GABA) a receptor complex, the principal aim of the current work is to assess two essential heavy metals: Iron (Fe) and zinc (Zn) by atomic absorption in different brain areas of stressed rats. To do so, we investigated the effect of acute immobilization stress (single 1-hour session) on the distribution … …Neuroscience International, Vol. 3, Issue 2 · 14 Sep 2012 · 7,277 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Computer Aided Diagnosis System for Lung Cancer Detection\Using Support Vector MachineM. Gomathi, P. ThangarajProblem statement: Computer Tomography (CT) has been considered as the most sensitive imaging technique for early detection of lung cancer. Approach: On the other hand, there is a requirement for automated methodology to make use of large amount of data obtained CT images. Computer Aided Diagnosis (CAD) can be used efficiently for early detection of Lung Cancer. Results: The usage … …American Journal of Applied Sciences, Vol. 7, Issue 12 · 31 Dec 2010 · 8,285 accessesView PDFCite
Research ArticleOpen accessIn the abstractHardware Implementation of Truncated Multipliers Using Spartan-3AN, Virtex-4 and Virtex-5 FPGA DevicesMuhammad H. RaisProblem statement: The development cost for Application Specific Integrated Circuits (ASICs) are high, algorithms should be verified and optimized before implementation. The Digital Signal Processing (DSP), image processing and multimedia requires extensive use of multiplication. The truncated multipliers can easily be implemented using Field Programmable Gate Array (FPGA) devices. Approach: This research presented the comparative study of Spartan-3AN, Virtex-4 and … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 1 · 31 Mar 2010 · 8,334 accessesView PDFCite
Research ArticleOpen accessIn the abstractNeural Networks Based Time-Delay Estimation using DCT CoefficientsSamir J. Shaltaf, Ahmad A. MohammadThis study dealt with the problem of estimating constant time delay embedded into a received signal that was noisy, delayed and damped image of a known reference signal. The received signal was filtered, normalized with respect to the peak value it achieved and then transformed by the Discrete Cosine Transform (DCT) into DCT coefficients. Those DCT coefficients that were most … …American Journal of Applied Sciences, Vol. 6, Issue 4 · 30 Apr 2009 · 7,479 accessesView PDFCite
Review ArticleOpen accessIn the abstractSome Aircraft Considered New in 2020Florian Ion Tiberiu PetrescuThe paper briefly presents some models of aircraft considered avant-garde in 2020 and it is part of the reviews on news in aviation and aerospace. It briefly presents some basic features, news and more important data for each new model on display, so that the reader can get an image of that model but also an overall one, to compare … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 4 · 22 Dec 2020 · 7,464 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordBRAIN TUMOR CLASSIFICATION BASED ON CLUSTERED DISCRETE COSINE TRANSFORM IN COMPRESSED DOMAINV. Anitha, S. MurugavalliThis study presents a novel method to classify the brain tumors by means of efficient and integrated methods so as to increase the classification accuracy. In conventional systems, the problem being the same to extract the feature sets from the database and classify tumors based on the features sets. The main idea in plethora of earlier researches related to any … …Journal of Computer Science, Vol. 10, Issue 10 · 6 May 2014 · 7,532 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordEfficient Multimodal Biometric Authentication Using Fast Fingerprint Verification and Enhanced Iris FeaturesA. Jameer Basha, V. Palanisamy, T. PurusothamanProblem statement: The accuracy of biometric systems varies with the kind of biometric feature used in it. The Unmoral biometric system is prone to interclass variations. Approach: We implement Multimodal biometric systems to overcome the limitations by using multiple pieces of evidence of the same identity. However, the multimodal biometric system is limited to the time constraints due to its … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 7,619 accessesView PDFCite