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Research ArticleOpen accessIn the abstractHybrid Algorithm for Lossless Image Compression using Simple Selective Scan order with Bit Plane SlicingS. N. Sivanandam, A. Pasumpon PandianProblem statement: Identifying the new lossless image compression algorithm for high performance applications like medical and satellite imaging; a high quality lossless image is most important when reproduction which leads to classify the data for decision making. Approach: A new lossless hybrid algorithm based on simple selective scan order with Bit Plane Slicing method is presented for lossless Image compression … …Journal of Computer Science, Vol. 8, Issue 8 · 28 Jul 2012 · 7,484 accessesView PDFCite
Research ArticleOpen accessIn the abstractContent Based Image Retrieval of Ultrasound Liver Diseases Based on Hybrid ApproachR. Suganya, S. RajaramProblem statement: In the past few years, immense improvement was obtained in the field of Content-Based Image Retrieval (CBIR). Nevertheless, existing systems still fail when applied to medical image databases. Simple feature-extraction algorithms that operate on the entire image for characterization of color, texture, or shape cannot be related to the descriptive semantics of medical knowledge that is extracted from … …American Journal of Applied Sciences, Vol. 9, Issue 6 · 24 Mar 2012 · 7,643 accessesView PDFCite
Research ArticleOpen accessIn the abstractFrom &#34Foreign&#34 Language Education to Plurilingualism: Challenges for Language Education Policy in a Multilingual JapanTeja OstheiderProblem statement: With a 41% increase in foreign residents over the last 10 years, the long-neglected issue of domestic multiculturalism and multilingualism cannot be ignored anymore in Japan. Nevertheless, there is still a deep gap between common images created by mass media and education regarding “internationalization” or “globalization” and the actual condition of Japan as a migrant country. By discussing … …Journal of Social Sciences, Vol. 8, Issue 1 · 18 Feb 2012 · 8,650 accessesView PDFCite
Research ArticleOpen accessIn the abstractAccurate Orthogonal Circular Moment Invariants of Gray-Level ImagesKhalid Mohamed HosnyProblem statement: Orthogonal circular moments of gray level images such as Zernike, pseudo Zernike and Fourier-Mellin moments are widely used in different applications of image processing, pattern recognition and computer vision. Computational processes of these moments and their translation and scale invariants still an open area of research. Approach: a unified methodology is presented for efficient and accurate computation of … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 7,787 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Integrated Model for the Versioning of Image ObjectsS. KhaddajProblem statement: The efficient management and retrieval of the enormous volumes of information generated by many imaging applications is still a challenging problem. Approach: In this study we are particularly interested with the use of object oriented techniques for the management of digital images. Indeed, it is widely accepted that the use of data abstraction in object oriented modeling enables … …Journal of Computer Science, Vol. 6, Issue 1 · 31 Jul 2010 · 6,911 accessesView PDFCite
Research ArticleOpen accessIn the abstractSeparable Watermarking Technique Using the Biological Color ModelDavid Nino, Moussa Abdallah, Bassam HammoProblem statement: The issue of having robust and fragile watermarking is still main focus for various researchers worldwide. Performance of a watermarking technique depends on how complex as well as how feasible to implement. These issues are tested using various kinds of attacks including geometry and transformation. Watermarking techniques in color images are more challenging than gray images in terms … …Journal of Computer Science, Vol. 5, Issue 8 · 31 Aug 2009 · 6,611 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybrid Approach of Texture Feature and Gradient Orientation for Computer Aided Diagnosis System Based on Breast Density ClassificationNujum Alabdulali, Alanod Bin Dris, Fatimah Alqahtani, Aseel Bin OthmanA Computer-Aided Diagnosis (CAD) system can perform an accurate diagnosis and help radiologists by presenting a second opinion about breast density. However, the development of a robust CAD system for breast density classification is still an open problem. In this study, we proposed a CAD system based on hybrid intelligent machine learning technique for automatic classification of breast density on … …Journal of Computer Science, Vol. 16, Issue 10 · 1 Nov 2020 · 6,759 accessesView PDFCite
Research ArticleOpen accessIn the abstractHarmonic Mean Projection Shape Transform for Leaf ClassificationSophia Jamila Zahra, Riza Sulaiman, Seyed M.M. Kahaki, Anton Satria PrabuwonoShape feature extraction has emerged as an important part of computer vision and image processing applications. Identification of shape objects in huge data based on shape similarity still remains a challenging problem due to the similarity of the shapes and existing of classes with similar contour information. This paper presents to investigate the shape analysis for plant leaf classification by … …Journal of Computer Science, Vol. 16, Issue 9 · 13 Sep 2020 · 6,854 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Study on Public Relations Performance Evaluation (PRPE) Model to Accelerate Public Relations Practice at Universities in BangladeshTahmina Sultana, Muhammad Kawsar Mahmud, Taha HusainPublic Relations (PR) has been demarcated as an essential apparatus in the modern era that contributes to numerous means to endorse the images of an organization. The purpose of this study is to propose a comprehensive model to evaluate the performance of Public Relations at universities. This study follows both the quantitative and qualitative research methodology and reveals that the … …Journal of Social Sciences, Vol. 15, Issue 1 · 23 Oct 2019 · 7,939 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomated Face Detection, Recognition and Gender Estimation Applied to Person IdentificationMd Hannan, Md Rafiqul Islam, Md Ashraful Haque et al.Face detection, recognition and gender estimation are one of the most significant research areas in computer vision, not only because of the challenging nature of faces as an object but also due to the countless applications that require the application of face detection, tracking and recognition. Although many significant types of research on face detection, recognition and gender estimation problems … …Journal of Computer Science, Vol. 15, Issue 3 · 27 Mar 2019 · 9,492 accessesView PDFCite