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643 results for “Images”

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Research ArticleOpen accessIn the abstractImprovement of Nuclear Track Density Measurements Using Image Processing TechniquesA. Mostofizadeh, X. Sun, M. R. KardanThe well known edge detection methods were applied to evaluate accuracy and precision of nuclear track densitometry of polycarbonate detector. All measurements carried out in two cases of before and after improvement of track images. Considering the overlapping phenomenon -including double and triple tracks- experimental and statistical results showed that not only each particular edge detection method affects the accuracy … …American Journal of Applied Sciences, Vol. 5, Issue 2 · 28 Feb 2008 · 7,431 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetoxification of Heavy Metal Contaminated SoilsFloarea Damian, Gheorghe DamianThe concentration of the heavy metals in the soils from the strong affected zones because of the mining and metallurgical industry, Baia Mare and Zlatna (Romania), is significant due to the high values of the contents and association of the four metals Pb, Cu, Zn, Cd. The efficacy of the natural zeolites in heavy metals immobilization from the studied soils … …American Journal of Environmental Sciences, Vol. 3, Issue 4 · 31 Dec 2007 · 7,238 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Comparison of Different Image Sizes for Recognizing Unconstrained Handwritten Tamil Characters using SVMN. Shanthi, K. DuraiswamyThis study describes a system for recognizing offline handwritten Tamil characters using Support Vector Machine (SVM). Data samples are collected from different writers on A4 sized documents. They are scanned using a flat bed scanner at a resolution of 300 dpi and stored as grey scale images. Various preprocessing operations are performed on the digitized image to enhance the quality … …Journal of Computer Science, Vol. 3, Issue 9 · 30 Sep 2007 · 7,012 accessesView PDFCite
Research ArticleOpen accessIn the abstractCombined DWT-DCT Digital Image WatermarkingAli Al-HajThe proliferation of digitized media due to the rapid growth of networked multimedia systems, has created an urgent need for copyright enforcement technologies that can protect copyright ownership of multimedia objects. Digital image watermarking is one such technology that has been developed to protect digital images from illegal manipulations. In particular, digital image watermarking algorithms which are based on the … …Journal of Computer Science, Vol. 3, Issue 9 · 30 Sep 2007 · 18,205 accessesView PDFCite
Research ArticleOpen accessIn the abstractColored Digital Image Watermarking using the Wavelet TechniqueMohammed F. Al-Hunaity, Salam A. Najim, Ibrahiem M. El-EmaryWith the revolution of information technology and Wide Area Networking, data has become less and less private where the access of media as well as the attempts to change and manipulate the contents of media data have become a common case. For that, we need to use a watermarking technique to protect the copyright of the media as well as … …American Journal of Applied Sciences, Vol. 4, Issue 9 · 30 Sep 2007 · 6,666 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomated Breast Cancer Diagnosis based on GVF-Snake Segmentation, Wavelet Features Extraction and Neural Network ClassificationAbderrahim Sebri, Jihène Malek, Rached TourkiBreast cancer accounts for the second most cancer diagnoses among women and the second most cancer deaths in the world. In fact, more than 11000 women die each year, all over the world, because this disease. The automatic breast cancer diagnosis is a very important purpose of medical informatics researches. Some researches has been oriented to make automatic the diagnosis … …Journal of Computer Science, Vol. 3, Issue 8 · 31 Aug 2007 · 7,414 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 abstractHigh-precision Detection of Facial Landmarks to Estimate Head Motions Based on Vision ModelsXiaohong W. Gao, Sergey Anishenko, Dmitry Shaposhnikov et al.A new approach of determination of head movement is presented from the pictures recorded via digital cameras monitoring the scanning processing of PET. Two human vision models of CIECAMs and BMV are applied to segment the face region via skin colour and to detect local facial landmarks respectively. The developed algorithms are evaluated on the pictures (n=12) monitoring a subject’s … …Journal of Computer Science, Vol. 3, Issue 7 · 31 Jul 2007 · 6,820 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Main Object-oriented Projective Invariant Image Watermarking ApproachMalik F. AlamairehDigital Watermarking is a technology that enables to protect distributed digital content from unauthorized reuse. Robust watermarks must be able to survive a range of geometrical "attacks," such as image resizing, cropping, translation, rotation, scaling, smoothing, filtering, and simplification. In the current paper we extend existing approaches that are based partially on image invariant features; by introducing new image invariant … …American Journal of Applied Sciences, Vol. 4, Issue 6 · 30 Jun 2007 · 6,741 accessesView PDFCite
Research ArticleOpen accessIn the abstractRange Image Segmentation by Randomized Region Growing and Bayesian Edge RegularizationSmaine Mazouzi, Mohamed BatoucheWe presented and evaluated a new Bayesian method for range image segmentation. The method proceeds in to stages. First, an initial segmentation was produced by a randomized region growing technique. The produced segmentation was considered as a degraded version of the ideal segmentation, which should be then refined. In the second stage, image pixels not labeled in the first stage … …Journal of Computer Science, Vol. 3, Issue 5 · 31 May 2007 · 6,927 accessesView PDFCite