Object Filling Using Table Based Boundary Tracking

The feature extraction step plays major role for proper object classification and recognition, this step depends mainly on correct object detection in the given scene, the object detection algorithms may result with some noises that affect the final object shape, a novel approach is introduced in th...

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Main Author: مختار محمد حسن (Author)
Format: Book
Published: College of Education for Women, 2019-01-01T00:00:00Z.
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520 |a The feature extraction step plays major role for proper object classification and recognition, this step depends mainly on correct object detection in the given scene, the object detection algorithms may result with some noises that affect the final object shape, a novel approach is introduced in this paper for filling the holes in that object for better object detection and for correct feature extraction, this method is based on the hole definition which is the black pixel surrounded by a connected boundary region, and hence trying to find a connected contour region that surrounds the background pixel using roadmap racing algorithm, the method shows a good results in 2D space objects. Keywords: object filling, object detection, object holes, noise removal, scanning 2D objects. 
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786 0 |n مجلة كلية التربية للبنات, Vol 28, Iss 1 (2019) 
787 0 |n http://jcoeduw.uobaghdad.edu.iq/index.php/journal/article/view/133 
787 0 |n https://doaj.org/toc/1680-8738 
787 0 |n https://doaj.org/toc/2663-547X 
856 4 1 |u https://doaj.org/article/6c6ba3ee4d3a4ce78eb3d77c04162ab6  |z Connect to this object online.