Skip to main content
Article thumbnail
Location of Repository

Real time sobel square edge detector for night vision analysis

By Ching Wei Wang


Vision analysis with low or no illumination is gaining more and more attention recently, especially in the fields of security surveillance and medical diagnosis. In this paper, a real time sobel square edge detector is developed as a vision enhancer in order to render clear shapes of object in targeting scenes, allowing further analysis such as object or human detection, object or human tracking, human behavior recognition, and identification on abnormal scenes or activities. The method is optimized for real time applications and compared with existing edge detectors. Program codes are illustrated in the content and the results show that the proposed algorithm is promising to generate clear vision data with low noise

Topics: G400 Computer Science
Publisher: Springer
Year: 2006
OAI identifier:

Suggested articles


  1. A: “Robotic Video Monitor with intelligence for diagnosis on Obstructive Sleep Apnoea”.
  2. (2003). Color Edge Detection Techniques”, Signaltheorie und Signalverarbeitung, Akustik und Sprachakustik,
  3. Critical Asset Protection, Perimeter Monitoring, and Threat Detection Using Automated Video Surveillance”, Object Video white paper. doi
  4. (2004). Optical coherence tomography contrast enhancement using spectroscopic analysis with spectral autocorrelation”, doi
  5. (2005). Real Time Robust Human Detection and Tracking System”, IEEEComputer vision and pattern recognition, Volume: 3, On page(s): 149- 149, doi
  6. (1999). The visual analysis of human movement – a survey, computer vision and image understanding”, doi

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.