@inproceedings{2f46803bf70f4872bb91df66caac57aa,
title = "İstat{\.i}st{\.i}ksel tikizlik kest{\.i}r{\.i}m{\.i}ne dayali ger{\c c}ek zamanli da{\.i}resel nesne tesp{\.i}t{\.i}",
abstract = "Gathering statistical and geometrical information by processing the shape contours is the common way of feature extraction on object detection and recognition studies. Compactness is an important shape descriptor which specifies the similarity between a shape and a circle. In this study, we propose a new compactness measure based on examining the distribution of the contour moments with respect to the shape's centroid. First, the contours are extracted with the Edge Drawing algorithm from the image. Then, the contours moments are computed and their distributions are examined. As a result, detection of the circular shapes among the extracted closed contours with a desired circular similarity becomes possible. With its high accuracy and low complexity, the proposed method is a convenient for realtime applications.",
author = "Burak Benligiray and Cihan Topal and C{\"u}neyt Akinlar",
year = "2012",
doi = "10.1109/SIU.2012.6204732",
language = "T{\"u}rk{\c c}e",
isbn = "9781467300568",
series = "2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings",
booktitle = "2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings",
note = "2012 20th Signal Processing and Communications Applications Conference, SIU 2012 ; Conference date: 18-04-2012 Through 20-04-2012",
}