Browsing by Author "Topal, Cihan"
Now showing items 1-20 of 49
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Blind Rectification of Radial Distortion by Line Straightness
Benligiray, Burak; Topal, Cihan (IEEE, 2016)Lens distortion self-calibration estimates the distortion model using arbitrary images captured by a camera. The estimated model is then used to rectify images taken with the same camera. These methods generally use the ... -
Coin Recognition based on Geometric Features
Benligiray, Burak; Çakır, Halil İbrahim; Topal, Cihan; Akınlar, Cüneyt (IEEE, 2015)In this study, it is aimed to count the total amount in an image of coins using machine vision methods. The extrinsic parameters of the camera whose intrinsic parameters are already known are estimated relative to the plane ... -
Coin recognition based on geometric features [Geometrik Öznitelik Tabanli Madeni Para Tanima]
Benligiray, Burak; Çakır, Halil İbrahim; Topal, Cihan; Akınlar, Cüneyt (Institute of Electrical and Electronics Engineers Inc., 2015)In this study, it is aimed to count the total amount in an image of coins using machine vision methods. The extrinsic parameters of the camera whose intrinsic parameters are already known are estimated relative to the plane ... -
ColorED: Color edge and segment detection by Edge Drawing (ED)
Akınlar, Cüneyt; Topal, Cihan (Academic Press Inc Elsevier Science, 2017)We extend our recent edge and segment detector, Edge Drawing (GrayED), to detect edge segments in color images. Edge Drawing for color images, named ColorED, takes in a color image, and outputs a set of edge segments, each ... -
Combining Feature-based and Model-based Approaches For Robust Ellipse Detection
Çakır, Halil İbrahim; Benligiray, Burak; Topal, Cihan (IEEE, 2016)Fast and robust ellipse detection is a vital step in many image processing and computer vision applications. Two main approaches exist for ellipse detection, i.e., model-based and feature-based. Model-based methods require ... -
A Comparison of Classification Methods for Local Binary Patterns
Kazak, Nihan; Koç, Mehmet; Benligiray, Burak; Topal, Cihan (IEEE, 2016)Texture recognition is an important tool used for content-based image retrieval, face recognition, and satellite image classification applications. One of the most successful features for texture recognition is local binary ... -
A comparison of classification methods for local binary patterns [Yerel Ikili Örüntüler Için Siniflandirma Yöntemlerinin Karşilaştirilmasi]
Kazak, N.; Koç, Mehmet; Benligiray, Burak; Topal, Cihan (Institute of Electrical and Electronics Engineers Inc., 2016)Texture recognition is an important tool used for content-based image retrieval, face recognition, and satellite image classification applications. One of the most successful features for texture recognition is local binary ... -
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 ... -
Counting Turkish Coins with a Calibrated Camera
Benligiray, Burak; Çakır, Halil İbrahim; Topal, Cihan; Akınlar, Cüneyt (Springer International Publishing Ag, 2015)We present a computer vision application that detects all coins in a test image, classifies each detected coin and computes the total amount. Coins to be counted are assumed to be lying on a flat surface. The application ... -
Dataset augmentation for accurate object detection [Yüksek dogrulukta nesne tespiti için veri kümesi artirma]
Uysal, M. C.; Karapinar, T.; Benligiray, Burak; Topal, Cihan (Institute of Electrical and Electronics Engineers Inc., 2018)Hand detection has many important applications in human-computer interaction. But hand detection is a difficult problem because hand image can vary greatly in images. Vision based hand interfaces require fast and extremely ... -
Design and implementation of a border router for seamless peer-to-peer (P2P) UDP communication using IPv4+4 addresses
Topal, Cihan (Anadolu Üniversitesi, 2008)VoIP, çevrimiçi oyunlar, vb. gibi P2P (uçtan uca) uygulamaların sayısının çoğalmasıyla beraber, güvenli dikişsiz P2P UDP iletişimine artan bir talep bulunmaktadır. Ancak çoğunluğu NAT (Ağ Adres Dönüşümü) cihazlarının ... -
Design and implementation of a real time video-oculographic gaze detection and tracking system
Topal, Cihan (Anadolu Üniversitesi, 2014)In this thesis, real-time video-oculographic Point of Gaze (PoG) computation methods have been investigated. A fully functional PoG system generally consists of three main components. The rst is to extract features from ... -
EDCircles: A real-time circle detector with a false detection control
Akınlar, Cüneyt; Topal, Cihan (Elsevier Sci LTD, 2013)We propose a real-time, parameter-free circle detection algorithm that has high detection rates, produces accurate results and controls the number of false circle detections. The algorithm makes use of the contiguous ... -
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 combined real-time edge and segment detector
Topal, Cihan; Akınlar, Cüneyt (Academic Press Inc Elsevier Science, 2012)We present a novel edge segment detection algorithm that runs real-time and produces high quality edge segments, each of which is a linear pixel chain. Unlike traditional edge detectors, which work on the thresholded ... -
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: A real-time line segment detector with a false detection control
Akınlar, Cüneyt; Topal, Cihan (Elsevier Science BV, 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 detector in the literature; namely, the line ... -
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, ...