Research ArticleOpen accessIn the abstractAdvanced Persistent Threats Campaigns and AttributionPedro Ramos Brandao, Henrique Sao Mamede, Miguel CorreiaThe main objective of this study is to carry out a systematic review of the literature regarding Advanced Persistent Threats (A.P.T.) and A.P.T. Campaigns. The work is focused on campaigns with geographical origin in China and for this reason, the main A.P.T. campaigns from that region are analyzed. All types of documentation were used for the systematic literature review, including … …Journal of Computer Science, Vol. 19, Issue 8 · 10 Aug 2023 · 5,515 accessesView PDFCite
Review ArticleOpen accessIn the abstractStatistical Binarization Techniques for Document Image AnalysisSaad M. Ismail, Siti Norul Huda Sheikh Abdullah, Fariza FauziBinarization is an important process in image enhancement and analysis. Currently, numerous binarization techniques have been reported in the literature. These binarization methods produce binary images from color or gray-level images. This article highlights an extensive review on various binarization approaches which are also referred to as thresholding methods. These methods are grouped into seven categories according to the employed … …Journal of Computer Science, Vol. 14, Issue 1 · 3 Jan 2018 · 8,166 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetection of Rotten Fresh-Cut Cauliflowers based on Machine Vision Technology and Watershed Segmentation MethodJianxin Xue, Liang Huang, Bingyu Mu et al.In this study, machine vision technology was used to separate the samples and detect the rotting degrees of fresh-cut cauliflowers. First, the improved watershed algorithm was used for the segmentation of fresh-cut cauliflower samples and the extraction of single-sample. Then, three color models, a gray co-occurrence matrix and two feature extraction algorithms were used to extract the color, texture and … …American Journal of Biochemistry and Biotechnology, Vol. 18, Issue 2 · 13 Apr 2022 · 6,088 accessesView PDFCite
Review ArticleOpen accessIn the abstractAstrocytes Store for Memory and CognitionMajid Karimi BaghmalekiIn humans, protoplasmic astrocytes are found with high density in the cortex and hippocampus (both parts responsible for memory and cognition) and each astrocyte is in contact with two million of synapses. Astrocytes are responsible for the synaptogenesis and the removal of synapses, which is the basis of learning and memory. The synaptogenesis increases sevenfold with the addition of astrocytes … …Neuroscience International, Vol. 12, Issue 1 · 21 Apr 2021 · 17,216 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Efficient Denoising Algorithm for Impulse Noise RemovalA. Rajamani, V. KrishnaveniNow-a-days the images acquired by the digital cameras and defective sensors tend to introduce noises during either image acquisition or transmission process. The quality of the image is degraded in a significant measure. Lot of research works was carried out for several decades to denoise the impulse noise and each approach has its own merits and demerits. This study deals … …Journal of Computer Science, Vol. 11, Issue 1 · 10 Sep 2014 · 6,820 accessesView PDFCite
Research ArticleOpen accessIn the abstractREMOVAL OF HIGH DENSITY IMPULSE NOISE USING MORPHOLOGICAL BASED ADAPTIVE UNSYMMETRICAL TRIMMED MID-POINT FILTERS. Saravanakumar, A. Ebenezer Jeyakumar, K. N. VijeyakumarA Morphological based Adaptive Unsymmetrical Trimmed Mid-Point Filter (MAUTMPF) for the restoration of gray scale images corrupted by salt and pepper noise for varying noise densities is proposed in this study. Images corrupted by impulsive noise severely hinder subsequent image processing tasks, such as edge detection, image segmentation, object recognition, etc. Therefore, it is absolutely essential to restore the original … …Journal of Computer Science, Vol. 10, Issue 7 · 17 Jun 2014 · 6,547 accessesView PDFCite
Research ArticleOpen accessIn the abstractCOMPUTER AIDED SEGMENTATION OF BRAIN TISSUES USING SOFT COMPUTING TECHNIQUESD. Ramkumar, I. Jacob Raglend, K. BatriIn this study, an efficient computer aided classification of brain tissue in to Gray Matter (GM), White Matter (WM) and Cerebro-Spinal Fluid (CSF) is proposed. The proposed work consists of the following sub blocks like denosing, feature extraction and Classifier. This initial partition is performed by ANFIS after extracting the textural features like local binary pattern and histogram features. The … …American Journal of Applied Sciences, Vol. 11, Issue 6 · 17 Apr 2014 · 6,668 accessesView PDFCite
Research ArticleOpen accessIn the abstractPERFORMANCE ANALYSIS OF BRAIN TUMOR DIAGNOSIS BASED ON SOFT COMPUTING TECHNIQUESP. Shantha Kumar, P. Ganesh KumarComputed tomography images are widely used in the diagnosis of brain tumor because of its faster processing, avoiding malfunctions and suitability with physician and radiologist. This study proposes a new approach to automated detection of brain tumor. This proposed work consists of various stages in their diagnosis processing such as preprocessing, anisotropic diffusion, feature extraction and classification. The local binary … …American Journal of Applied Sciences, Vol. 11, Issue 2 · 27 Dec 2013 · 6,989 accessesView PDFCite
Research ArticleOpen accessIn the abstractA High Secure and Robust Image Steganography Using Dual Wavelet and Blending ModelR. Bhavani, Prabakaran GanesanSteganography is an ability of concealing information inside the cover in such a way it looks like simple cover though it has concealed information. There are many techniques to carry out steganography on electronic media, most especially audio and image files. In this method, we proposed a high secure steganography scheme hiding a 256×256 size gray secret image into a … …Journal of Computer Science, Vol. 9, Issue 3 · 12 Apr 2013 · 6,432 accessesView PDFCite
Research ArticleOpen accessIn the abstractSolving Square Jigsaw Puzzles Using Dynamic Programming and the Hungarian ProcedureNaif AlajlanProblem statement: To design, implement, and test an algorithm for solving the square jigsaw puzzle problem, which has many applications in image processing, pattern recognition, and computer vision such as restoration of archeological artifacts and image descrambling. Approach: The algorithm used the gray level profiles of border pixels for local matching of the puzzle pieces, which was performed using dynamic … …American Journal of Applied Sciences, Vol. 6, Issue 11 · 30 Nov 2009 · 7,696 accessesView PDFCite