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Research ArticleOpen accessIn the keywordsObject Recognition Based on Image Segmentation and ClusteringS. Thilagamani, N. ShanthiProblem statement: This study deals with object recognition based on image segmentation and clustering. Acquiring prior information of an image is done via two separate processes. Approach: The first process deals with detecting object parts of an image and integration of detected parts into several clusters. All these cluster centers form the visual words. The second process deals with over … …Journal of Computer Science, Vol. 7, Issue 11 · 6 Sep 2011 · 7,074 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA New Modified Gaussian Mixture Model for Color-Texture SegmentationM. Sujaritha, S. AnnaduraiProblem statement: This study presents a new, simple and efficient modified Gaussian mixture model based clustering algorithm for color-texture segmentation. The proposed mixture model introduces a new component density function which incorporates spatial information and the weighting factor for neighborhood effect is fully adaptive to the image content. Approach: It enhances the smoothness towards piecewise-homogeneous segmentation and reduces the edge-blurring … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 7,329 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSkin Color Detection Model Using Neural Networks and its Performance EvaluationK. K. Bhoyar, O. G. KakdeProblem statement: Skin color detection is used as a preliminary step in numerous computer vision applications like face detection, nudity recognition, hand gesture detection and person identification. In this study we present a pixel based skin color classification approach, for detecting skin pixels and non skin pixels in color images, using a novel neural network symmetric classifier. The neural classifiers … …Journal of Computer Science, Vol. 6, Issue 9 · 30 Sep 2010 · 8,058 accessesView PDFCite
Research ArticleOpen accessIn the keywordsImage Compression and Reconstruction using Cubic Spline Interpolation TechniqueR. Muthaiah, K. NeelaKantan, Vidur Sharma, Amit AroraA new dimension of image compression using random pixels of irregular sampling and image reconstruction using cubic-spline interpolation techniques proposed in this paper. It also covers the wide field of multimedia communication concerned with multimedia messaging (MMS) and image transfer through mobile phones and tried to find a mechanism to transfer images with minimum bandwidth requirement. This method would provide … …American Journal of Applied Sciences, Vol. 5, Issue 11 · 30 Nov 2008 · 7,197 accessesView PDFCite
Research ArticleOpen accessIn the keywordsWavelet Analysis and Orthogonal Moments based Classification of Microcalcification in Digital MammogramsN. V.S. Sree Rathna Lakshmi, C. ManoharanProblem statement: An important early sign of breast cancer is the clusters of micro calcifications in digital mammograms. To assist radiologists in the diagnosis of mammographic clusters a novel hybrid algorithm has been developed. Approach: A method, for detecting micro calcification in mammograms based on combined feature set with Ant Colony Optimization (ACO) was proposed. The diagonal matrix ‘S’ obtained … …Journal of Computer Science, Vol. 7, Issue 10 · 6 Aug 2011 · 6,558 accessesView PDFCite
Research ArticleOpen accessIn the keywordsComparative Study of the Effect of Lossy and Lossless Block Based Binary Plane Techniques on Medical ImagesNalla Subhash Chandra, Mahaboob Basha Shaik, A. Govardhan, M. BalrajuProblem statement: The general and medical images in specific contain different regions holding information of different significances. To elaborate medical information, the doctor prefers to focus on certain selected region (s) of interest. So for medical images the diagnostically important regions must be preserved at high quality, whereas the rest of the image is required only in a contextual sense. … …Journal of Computer Science, Vol. 6, Issue 11 · 23 Oct 2010 · 7,380 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Practical Approach of Selecting the Edge Detector Parameters to Achieve a Good Edge Map of the Gray ImageAkram A. Moustafa, Ziad A. AlqadiProblem statement: practical approach of detecting edge map was proposed. Approach: The methodology of this approach was presented and tested in order to select the best value of the operator, used to smooth and get the gradient, and the threshold value used to convert the gray gradient to binary edge map, so a practical value of the threshold and edge … …Journal of Computer Science, Vol. 5, Issue 5 · 30 May 2009 · 6,794 accessesView PDFCite
Research ArticleOpen accessIn the abstractModified U-Net With VGG11-BN Encoder and Frost Filter Based Pre-Processing for Copy Move Forgery LocalizationAshutosh Pandey, Niranjan Lal, Ashish Kumar ChakravertiCopy-move forgery is a widely used forgery method in digital image forensics, which involves copying and pasting a part of an image into another part of the image to hide or duplicate the visual information. This makes it difficult to detect such manipulations, particularly when the regions are subjected to geometric and photometric transformations. A Frost Filter-Enhanced Encoder-Decoder U-Net is … …Journal of Computer Science, Vol. 22, Issue 10 · 6 Oct 2026 · 457 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Systematic Review of Adversarial Attacks: ML Techniques, Classification and CountermeasuresBhavesh Kumar Sharma, Sanatan Ratna, Rajiv KumarMachine Learning (ML) and Deep Learning (DL)-based technologies have made significant strides in areas such as computer vision, natural language processing, and autonomous systems. Yet they have been applied in high-stake applications, and have been found to be fragile through adversarial attacks-, maliciously crafted small distortions that fool models into making mistakes. From the pioneering work by Szegedy et al. … …Journal of Computer Science, Vol. 22, Issue 5 · 19 May 2026 · 1,497 accessesView PDFCite
Research ArticleOpen accessIn the abstractImpact of Ultrasonication on Milk Fat Globule Size and Inhibition of Salmonella enteritidis GrowthUmiatin Umiatin, Dalia Sukmawati, Taryudi Taryudi et al.One significant effect of ultrasonic treatment is the inactivation of microorganisms. This characteristic causes ultrasound to be widely used in food processing, healthcare devices, and water treatment. Ultrasonication is an innovative technology that holds promise for accelerating processes and producing high-quality products. The ultrasonic process in milk processing includes homogenization and sterilization. Milk homogenization standardizes fat globule size, while sterilization … …OnLine Journal of Biological Sciences, Vol. 26, Issue 2 · 8 May 2026 · 1,507 accessesView PDFCite