Kurum Yazarı "Topal, Cihan" Bildiri Koleksiyonu İçin Listeleme
-
Corner detection via trilateral filtering of chain codes
Özkan, K.; Topal, Cihan; Akınlar, Cüneyt (2011)Contours are the most common feature used in the shape detection and recognition applications. Contours in digital images constitute of consecutive pixels, thus they can be represented with chain codes by encoding the ... -
Corner detection with bilateral filtering of freeman codes [Freeman kodlarinin çi·ft-yönlü süzgeç lenmesi· i·le köşe tespi·ti·]
Topal, Cihan; Özkan, Kemal; Akınlar, Cüneyt (2011)Shape contours are one of the most widely used features in the shape detection and recognition applications. A contour can be represented by the chain code which is obtained by coding the relative directions of the elements ... -
Edcircles: Real-Time Circle Detection By Edge Drawing (Ed)
Akınlar, Cüneyt; Topal, Cihan (IEEE, 2012)We propose a real-time, parameter-free circle detection algorithm that produces accurate results with very few false positives. The algorithm makes use of the contiguous (connected) set of edge segments produced by our ... -
Edcontours: High-Speed Parameter-Free Contour Detecton Using Edpf
Akınlar, Cüneyt; Topal, Cihan (IEEE, 2012)We present a high-speed contour detector, which we name EDContours, that works by running our real-time parameter-free edge segment detector, Edge Drawing Parameter Free (EDPF), at different scale-space representations of ... -
Edge drawing: A heuristic approach to robust real-time edge detection
Topal, Cihan; Akınlar, Cüneyt; Genç, Y. (2010)We propose a new edge detection algorithm that works by computing a set of anchor edge points in an image and then linking these anchor points by drawing edges between them. The resulting edgemap consists of perfect ... -
Edlines: Real-Time Line Segment Detection By Edge Drawing (Ed)
Akınlar, Cüneyt; Topal, Cihan (IEEE, 2011)We propose a linear time line segment detector that gives accurate results, requires no parameter tuning, and runs up to 11 times faster than the fastest known line segment detection algorithm in the literature; namely, ... -
Implementing IPv4+4 addressing architecture with IPv4 LSRR option for seamless peer-to-peer (P2P) communication
Topal, Cihan; Akınlar, Cüneyt (Springer-Verlag Berlin, 2007)IPv4 architecture is well entrenched with Network Address Translation (NAT) boxes, which cause well-known problems for Peer-to-Peer (P2P) applications. IPv6 would enable end-to-end connectivity when deployed, but the ... -
A Parallel Huffman Coder on the CUDA Architecture
Rahmani, Habibelahi; Topal, Cihan; Akınlar, Cüneyt (IEEE, 2014)We present a parallel implementation of the widely-used entropy encoding algorithm, the Huffman coder, on the NVIDIA CUDA architecture. After constructing the Huffman codeword tree serially, we proceed in parallel by ... -
Parallelizing edge drawing algorithm on CUDA
Özşen, Özge; Topal, Cihan; Akınlar, Cüneyt (2012)Parallel computing methods are very useful in speeding up algorithms that can be divided into independent subtasks. Traditional multi-processor architectures have limited use due to their high cost and difficulties of their ... -
Quantification of Projective Distortion for Fiducial Markers
Benligiray, Burak; Topal, Cihan; Akınlar, Cüneyt; Genç, Yakup (IEEE, 2013)The aim of this study is to quantify the projective distortion of candidate quadrilaterals found in a square-framed fiducial marker detection algorithm. Based on the quantified value, candidates can be eliminated in such ... -
Quantification of projective distortion for fiducial markers [Duzlemsel dsaretciler dcin dzdusumsel carpikligin nicelendirilmesi]
The aim of this study is to quantify the projective distortion of candidate quadrilaterals found in a square-framed fiducial marker detection algorithm. Based on the quantified value, candidates can be eliminated in such ... -
Real-time Edge Segment Detection with Edge Drawing Algorithm
Topal, Cihan; Özşen, Özgür; Akınlar, Cüneyt (IEEE, 2011)Edge Drawing (ED) is an edge detection method that works by computing a set of anchor points, which are most likely to be edge elements, and linking them with a predefined set of rules which we call smart routing. ED can ... -
Realtime circular object detection based on the statistical compactness estimation [İstati·sti·ksel tikizlik kesti·ri·mi·ne dayali gerçek zamanli dai·resel nesne tespi·ti·]
Benligiray, Burak; Topal, Cihan; Akınlar, Cüneyt (2012)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 ... -
A Robust Css Corner Detector Based on the Turning Angle Curvature of Image Gradients
Topal, Cihan; Özkan, Kemal; Benligiray, Burak; Akınlar, Cüneyt (IEEE, 2013)In this study, we present a new contour-based corner detection method based on the turning angle curvature computed from the contour gradients of the image. In general, curvature is computed with the pixel locations of the ... -
A robust CSS corner detector based on the turning angle curvature of image gradients
In this study, we present a new contour-based corner detection method based on the turning angle curvature computed from the contour gradients of the image. In general, curvature is computed with the pixel locations of the ...