Research ArticleOpen accessIn the abstractHuman Behavior Classification Using Multi-Class Relevance Vector MachineB. Yogameena, S. Veera Lakshmi, M. Archana, S. Raju AbhaikumarProblem statement: In computer vision and robotics, one of the typical tasks is to identify specific objects in an image and to determine each object’s position and orientation relative to coordinate system. This study presented a Multi-class Relevance Vector machine (RVM) classification algorithm which classifies different human poses from a single stationary camera for video surveillance applications. Approach: First the … …Journal of Computer Science, Vol. 6, Issue 9 · 30 Sep 2010 · 7,390 accessesView PDFCite
Research ArticleOpen accessIn the abstractSkin 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 abstractLower-Dimensional Feature Sets for Template-Based Motion Recognition ApproachesMd. Atiqur Rahman Ahad, J. Tan, H. Kim, S. IshikawaProblem statement: In template-based motion recognition approaches, feature sets are computed from the template for classification. Hu invariants are widely employed for this purpose since its inception. However, development of lower-dimensional feature vector sets is required for faster computation along with robust recognition. The concept of reduced size of Hu moment is really interesting. From its inception, seven higher orders … …Journal of Computer Science, Vol. 6, Issue 8 · 31 Aug 2010 · 7,744 accessesView PDFCite
Research ArticleOpen accessIn the abstractSkin Images SegmentationAli El-ZaartProblem statement: Image segmentation is a fundamental step in many applications of image processing. Skin cancer has been the most common of all new cancers detected each year. At early stage detection of skin cancer, simple and economic treatment can cure it mostly. An accurate segmentation of skin images can help the diagnosis to define well the region of the … …Journal of Computer Science, Vol. 6, Issue 2 · 28 Jul 2010 · 7,023 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntelligent Sensor for Image Control Point of Eigenfaces for Face RecognitionMohamed Lamine Toure, Zou BeijiProblem statement: The sensor for image control point in Face Recognition (FR) is one of the most active research areas in computer vision and pattern recognition. Its practical application includes forensic identification, access control and human computer interface. The task of a FR system is to compare an input face image against a database containing a set of face samples … …Journal of Computer Science, Vol. 6, Issue 5 · 31 May 2010 · 6,974 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntegrity Classification Algorithm of Images obtained from Impact Damaged Composite StructuresMahmoud Z. IskandaraniProblem statement: Many NDT systems used for damage detection in composites are difficult to apply to complex geometric structures, also, they are time-consuming. As a solution to the problems associated with NDT applications, an intelligent analysis system that supports a portable testing environment, which allowed various types of inputs and provided sufficient data regarding level of damage in a tested … …Journal of Computer Science, Vol. 6, Issue 4 · 30 Apr 2010 · 6,970 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementation of Multi-Centroid Moment Invariants in Thermal-Based Face Identification SystemKhairul Hamimah Abas, Osamu OnoProblem statement: Current paramount methods and approaches in face identification field rely on facial characteristics; such as location of eyes, length of nose and mouth, regardless the type of medium used to acquire the facial images. The visibility of these facial characteristics varies significantly with environmental factors (e.g., lighting elements). Various researches have been devoted to develop methodologies for addressing … …American Journal of Applied Sciences, Vol. 7, Issue 3 · 31 Mar 2010 · 7,163 accessesView PDFCite
Research ArticleOpen accessIn the abstractFeature Extraction for Characterization of Breast Lesions in Ultrasound Echography and ElastographyShirley Selvan, M. Kavitha, S. Shenbagadevi, S. SureshProblem statement: Elastography is developed as a quantitative approach to imaging linear elastic properties of tissues to detect suspicious tumors. We propose an automatic feature extraction method in ultrasound elastography and echography for characterization of breast lesions. Approach: The proposed algorithm was tested on 40 pairs of biopsy proven ultrasound elastography and echography images of which 11 are cystic, 16 … …Journal of Computer Science, Vol. 6, Issue 1 · 31 Jan 2010 · 8,315 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Method for Accuracy Assessment of Sub-Pixel Classification ResultsH. Emami, B. MojaradiProblem statement: Classification accuracy assessment is the main stage of information extraction to evaluate the performance of a classifier. According to the output's classifiers (thematic map/fraction map), a properly strategy for accuracy assessment should be taken into consideration. Since pure pixels are used in traditional accuracy assessment of full pixel classifiers they are not suitable for assessment of sub-pixel classifiers. … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 2 · 30 Jun 2009 · 7,475 accessesView PDFCite
Research ArticleOpen accessIn the abstractColor Image Reconstruction Using A New R'G'I ModelAkram A. Moustafa, Ziad A. AlqadiProblem statement: A new color model for digital image was discussed; this model can be used to separate low and high frequencies in the image without loosing any information from the image. Approach: A comparative study between different color models (RGB, HSI) applied to a very large microscopic image analysis and the proposed model was presented. Such analysis of different … …Journal of Computer Science, Vol. 5, Issue 4 · 30 Apr 2009 · 7,486 accessesView PDFCite