Advisors

Now showing items 1-20 of 45

    • 3D model compression using image compression based methods 

      Köse, Kıvanç (Bilkent University, 2007)
      A Connectivity-Guided AdaptiveWavelet Transform (CGAWT) based mesh compres- sion algorithm is proposed. On the contrary to previous work, the proposed method uses 2D image processing tools for compressing the mesh models. ...

    • Cepstral methods for image feature extraction 

      Çakır, Serdar (Bilkent University, 2010)
      Image feature extraction is one of the most vital tasks in computer vision and pattern recognition applications due to its importance in the preparation of data extracted from images. In this thesis, 2D cepstrum based ...

    • Change detection in digital video signals 

      Zaibi, Rabi (Bilkent University, 1999)
      We present a method for scene change detection based on projections onto the vertical, horizontal and diagonal axes. At first, vertical projection of each two consecutive interframe differences are calculated. Then based ...

    • Classification of agricultural kernels using impact acoustic signal processing 

      Onaran, İbrahim (Bilkent University, 2006)
      The quality is the main factor that directly affects the price for many agricultural produces. The quality depends on different properties of the produce. Most important property is associated with health of consumers. ...

    • Classification of histopathological cancer stem cell images in h&e stained liver tissues 

      Akbaş, Cem Emre (Bilkent University, 2016-03)
      Microscopic images are an essential part of cancer diagnosis process in modern medicine. However, diagnosing tissues under microscope is a time-consuming task for pathologists. There is also a signi cant variation in ...

    • Classification of vessel acoustic signatures using non-linear scattering based feature extraction 

      Can, Gökmen (Bilkent University, 2016-09)
      This thesis proposes a vessel recognition and classification system based on acoustic signatures. Conventionally, acoustic sounds are recognized by sonar operators who listen to audio signals received by ship sonars. The ...

    • Coding of speech and image signals using Gabor decomposition 

      Gündüzhan, Emre (Bilkent University, 1994)
      A new low bit rate speech coding method which uses Gabor time-frequency decomposition and the matching pursuit algorithm is developed. A new algorithm based on the projections onto convex sets method is used to smooth the ...

    • Comparison of multi-scale directional feature extraction methods for image processing 

      Bozkurt, Alican (Bilkent University, 2013)
      Almost all images that are presented in classification problems regardless of area of application, have directional information embedded into its texture. Although there are many algorithms developed to extract this ...

    • Computer aided diagnosis in radiology 

      Gürcan, Metin Nafi (Bilkent University, 1999)
      Breast cancer is one of the most deadly diseases for middle-aged women. In this thesis, computer-aided diagnosis tools are developed for the detection of breast cancer on mammograms. These tools include a detection scheme ...

    • Content based video copy detection using motion vectors 

      Taşdemir, Kasım (Bilkent University, 2009)
      In this thesis, we propose a motion vector based Video Content Based Copy Detection (VCBCD) method. Detecting the videos violating the copyright of the owner comes into question by growing broadcasting of digital video ...

    • CUDA based implementation of flame detection algorithms in day and infrared camera videos 

      Hamzaçebi, Hasan (Bilkent University, 2011)
      Automatic fire detection in videos is an important task but it is a challenging problem. Video based high performance fire detection algorithms are important for the detection of forest fires. The usage area of fire ...

    • Detection and classification of objects and texture 

      Tuna, Hakan (Bilkent University, 2009)
      Object and texture recognition are two important subjects in computer vision. An efficient and fast algorithm to compute a short and efficient feature vector for classification of images is crucial for smart video ...

    • Dynamic texture analysis in video with application to flame, smoke and volatile organic compound vapor detection 

      Günay, Osman (Bilkent University, 2009)
      Dynamic textures are moving image sequences that exhibit stationary characteristics in time such as fire, smoke, volatile organic compound (VOC) plumes, waves, etc. Most surveillance applications already have motion ...

    • Fire and flame detection methods in images and videos 

      Habiboğlu, Yusuf Hakan (Bilkent University, 2010)
      In this thesis, automatic fire detection methods are studied in color domain, spatial domain and temporal domain. We first investigated fire and flame colors of pixels. Chromatic Model, Fisher’s linear discriminant, ...

    • Fire detection algorithms using multimodal signal and image analysis 

      Töreyin, Behçet Uğur (Bilkent University, 2009)
      Dynamic textures are common in natural scenes. Examples of dynamic textures in video include fire, smoke, clouds, volatile organic compound (VOC) plumes in infra-red (IR) videos, trees in the wind, sea and ocean waves, ...

    • Gaussian mixture models design and applications 

      Ben Fatma, Khaled (Bilkent University, 2000)
      Two new design algorithms for estimating the parameters of Gaussian Mixture Models (GMh-l) are developed. These algorithms are based on fitting a GMM on the histogram of the data. The first method uses Least Squares ...

    • Image classification with energy efficient hadamard neural networks 

      Deveci, Tuba Ceren (Bilkent University, 2018-01)
      Deep learning has made significant improvements at many image processing tasks in recent years, such as image classification, object recognition and object detection. Convolutional neural networks (CNN), which is a popular ...

    • Image coding for digitized libraries 

      Gerek, Ömer Nezih (Bilkent University, 1998)
      III this thesis, image coding methods for two basic image types are developed under a digitized library framework. The two image types are gray tone or color images, and binary textual images, which are the digitized image ...

    • Image deconvolution methods based on fourier transform phase and bounded energy 

      Yorulmaz, Onur (Bilkent University, 2018-08)
      We developed deconvolution algorithms based on Fourier transform phase and bounded energy. Deconvolution is a major area of study in image processing applications. In general, restoration of original images from noisy ...

    • Image processing algorithms for histopathological images 

      Oğuz, Oğuzhan (Bilkent University, 2016-03)
      Conventionally, a pathologist examines cancer cell morphologies under microscope. This process takes a lot of time and is subject to human mistakes. Computer aided diagnosis (CAD) systems and modules aim to help ...