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Histogram based reflection detection

Ahmadi, A ; Sharif University of Technology | 2011

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  1. Type of Document: Article
  2. DOI: 10.1109/IranianMVIP.2011.6121602
  3. Publisher: 2011
  4. Abstract:
  5. Reflection appears as a layer that partly covers the original image. This phenomenon may cause failure in extracting information from images of reflecting objects. This work presents an automated technique for determining of reflection area as well as its severity to define reliability of extracted information. This is done by analyzing histogram and objects found in the image. We present a strong detector based on combining the results of these two procedures. We presented new reflection detection algorithm and a new method to find a good threshold value for converting any image into a binary image. The average reflection detection accuracy of the proposed algorithm is more than 95% for different types of reflection
  6. Keywords:
  7. Reflection detection ; Automated techniques ; Boundary detection ; Detection accuracy ; Detection algorithm ; Extracting information ; Histogram ; Original images ; Algorithms ; Computer vision ; Graphic methods ; Detectors
  8. Source: 2011 7th Iranian Conference on Machine Vision and Image Processing, MVIP 2011 - Proceedings, 16 November 2011 through 17 November 2011 ; November , 2011 , Page(s): 1 - 5 ; 978-1457715334 ; 9781457715358 (ISBN)
  9. URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6121602