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Eye detection and tracking in video streams
, Article IEEE International Symposium on Communications and Information Technologies: Smart Info-Media Systems, ISCIT 2004, Sapporo, 26 October 2004 through 29 October 2004 ; Volume 2 , 2004 , Pages 1258-1261 ; 0780385934 (ISBN) ; Manzuri, M. T ; Sharif University of Technology
2004
Abstract
This paper presents a new method for eye detection in a sequence of video pictures. We first find the face region using the features of skin's color, then the location of eye is determined by applying three cues on the detected face region. The first cue is the eye intensity and color, because the intensity of each eye region is relatively low and its color differs from the color of surrounding skin. The second cue is based on the position and size of eyes. The third cue is based on the convolution of proposed-eye-variance-filter with the eye-window candidates. After finding the precise location of eye, it will be tracked in a finite search window. We have evaluated and tested the presented...
Quality improvement of digitized radiographs by filtering technique development based on morphological transformations
, Article 2004 Nuclear Science Symposium, Medical Imaging Conference, Symposium on Nuclear Power Systems and the 14th International Workshop on Room Temperature Semiconductor X- and Gamma- Ray Detectors, Rome, 16 October 2004 through 22 October 2004 ; Volume 3 , 2004 , Pages 1845-1849 ; 10957863 (ISSN) ; Taheri, M ; Kargarnovin, M. H ; Ghasemi, F ; Rokrok, B ; Seiedi, M ; Edaalati, K ; Kermani, A ; Rastkhah, N ; Sharif University of Technology
2004
Abstract
Radiographic inspection is the most appreciated technique among the other non-destructive testing methods due to producing unique finger print record as the film. Converting of radiographs to a digital format and further digital image processing is the best method of enhancing the image quality and assisting the interpreter on his evaluation. In this research, different algorithms were used for image enhancement and radiograph interpretation in MATLAB environment. A graphical user interface (GUI) was created for implementation of different algorithms. Both spatial and frequency (wavelet) domains techniques were used for image enhancement. Results showed that the defect recognition...