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CvviP Research

CvviP Research. Computer Vision, Video and Image Processing. Leader: Assoc. Prof. Dr. Syed Abd. Rahman Syed Abu Bakar Dept. Microelectronics and Computer Engineering Faculty of Electrical Engineering Universiti Teknologi Malaysia. Vision based barcode reader. Real-time capability

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CvviP Research

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  1. CvviP Research Computer Vision, Video and Image Processing Leader: Assoc. Prof. Dr. Syed Abd. Rahman Syed Abu Bakar Dept. Microelectronics and Computer Engineering Faculty of Electrical Engineering Universiti Teknologi Malaysia

  2. Vision based barcode reader. Real-time capability Reads EAN-13 & UPC High performance, 47 FPS on 2.0GHz Barcode Reader (2005)

  3. Classify the starfruit based on 6 maturity index Estimating defects based on two type of defects: Shape defect & Skin surface defect 5 images are captured representing 5 different sides of the starfruit Starfruit Quality Inspection (2006)

  4. Able to determine vehicle pose from uncalibrated video image Accurate pose estimation of up to +/- 5 deg. Vehicle Pose Estimation (2006)

  5. Shadow removal in traffic scenes Removal of shadow is important because Interferes with shape and size information Shape and size – important for classification process Shadow Removal (2006)

  6. Myocardial Infarction (2007) • Measuring abnormality in selected coronary artery using texture analysis • Classify heart between normal or MI.

  7. Myocardial Infarction (2007) Detect automatically the coronary artery for analysis

  8. Infrared Thermography (2007) Proposed Otsu Hamadani

  9. Moving vehicle tracking from unmanned aerial vehicle. Object Tracking from UAV (2008)

  10. Active Members Dr. Syed Abd. Rahman Musa bin Mohd Mokji Rudi Heriansyah Usman Ullah Sheikh Muhammad Amir As’ari Shashitheren Norhafizah Ramli Norliza Md. Nor Alumni Dr. Zuwairie Ibrahim Dr. Nazori A. Ghani Yeoh Phaik Yong Mohd Nansah Maliki Chan Ying Hui Nuha Muhildin Rokhamsani Abd Al-Hadi Abd. Rahman CvviP Members

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