Search Results - "Çakir, Serdar"

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  1. 1

    Visual object tracking using Fourier domain phase information by Cakir, Serdar, Cetin, A. Enis

    Published in Signal, image and video processing (01-02-2022)
    “…In this article, phase of the Fourier transform (FT), which has observed to be a crucial component in image representation, is utilized for visual target…”
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    Journal Article
  2. 2

    Image Feature Extraction Using 2D Mel-Cepstrum by Çakir, Serdar, Çeti̇n, A Enis

    “…In this paper, a feature extraction method based on two-dimensional (2D) mel-cepstrum is introduced. Feature matrices resulting from the 2D mel-cepstrum,…”
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    Conference Proceeding
  3. 3

    Effect of prostate and bony pelvic dimensions measured by preoperative magnetic resonance imaging on robot-assisted radical prostatectomy by Yılmaz, Kayhan, Aktaş, Yasin, Ölçücü, Mahmut Taha, Aksaray, Eren Erdi, Çakır, Serdar, Ateş, Mutlu

    Published in Journal of robotic surgery (01-12-2022)
    “…Bone pelvic dimensions and body habitus may have effects on robot-assisted radical prostatectomy (RARP). In this study, we examined the effects of body mass…”
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    Journal Article
  4. 4

    Contrast Enhancement of Microscopy Images Using Image Phase Information by Cakir, Serdar, Kahraman, Deniz Cansen, Cetin-Atalay, Rengul, Cetin, A. Enis

    Published in IEEE access (01-01-2018)
    “…Contrast enhancement is an important preprocessing step for the analysis of microscopy images. The main aim of contrast enhancement techniques is to increase…”
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    Journal Article
  5. 5

    Conventional Fruit Farmers' Opinions on Organic Agriculture and Good Agricultural Practices: The Case of Zonguldak Province, Turkey by Osman KILIÇ, Gamze AYDIN ERYILMAZ, Serdar ÇAKIR

    “…In order to eliminate the negative effects of conventional agriculture on human health and the environment, organic agriculture and good agricultural practices…”
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    Journal Article
  6. 6

    A new implementation of common matrix approach using third-order tensors for face recognition by Ergin, Semih, Çakir, Serdar, Gerek, Ö. Nezih, Gülmezoğlu, M. Bilginer

    Published in Expert systems with applications (01-04-2011)
    “…► CMA is effectively used in pattern recognition problems. ► Since CMA considers the recognition problem as separate class subspace, CMA is adapted very…”
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    Journal Article
  7. 7

    Zonguldak İlinde Meyve Üreticilerinin Kimyasal Gübre ve Tarım İlacı Kullanımına Yönelik Çevresel Duyarlılıkları by KILIÇ, Osman, Gamze AYDIN ERYILMAZ, ÇAKIR, Serdar

    Published in Anadolu tarım bilimleri dergisi (Online) (01-02-2021)
    “…Konvansiyonel meyve yetiştiriciliğinde kimyasal gübre ve tarım ilacı kullanımı verimi artırmakta, ancak yoğun ve bilinçsiz uygulamalar, insan başta olmak üzere…”
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    Journal Article
  8. 8
  9. 9

    Mel-cepstral methods for image feature extraction by Cakir, S, Cetin, A E

    “…A feature extraction method based on two-dimensional (2D) mel-cepstrum is introduced. The concept of one-dimensional (1D) mel-cepstrum which is widely used in…”
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    Conference Proceeding
  10. 10

    Contrast Enhancement Using Phase Transition Information and Total Variation by Cakir, Serdar, Cetin, A. Enis

    “…Contrast enhancement is an important preprocessing step for the analysis of images. The main aim of contrast enhancement techniques is to increase the…”
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    Conference Proceeding
  11. 11

    Preoperative Inflammation Markers and De Ritis Ratio in Predicting Clinical Presentation and Prognosis of Patients with Testicular Germ Cell Tumors by Olcucu, Mahmut Taha, Karamik, Kaan, Yilmaz, Kayhan, Okuducu, Yahya, Cakir, Serdar, Ates, Mutlu

    “…Objective: To evaluate the importance of neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), platelet-to-lymphocyte ratio (PLR),…”
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    Journal Article
  12. 12

    Phase-Based Techniques for Image and Video Processing Applications by Çakır, Serdar

    Published 01-01-2017
    “…In this thesis, phase information is utilized to address several issues in image processing applications; namely image quality assessment, image contrast…”
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    Dissertation
  13. 13

    Mel- and Mellin-cepstral Feature Extraction Algorithms for Face Recognition by Cakir, S., Cetin, A. E.

    Published in Computer journal (01-09-2011)
    “…In this article, an image feature extraction method based on two-dimensional (2D) Mellin cepstrum is introduced. The concept of one-dimensional (1D)…”
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    Journal Article
  14. 14

    Cepstral Methods for Image Feature Extraction by Çakır, Serdar

    Published 01-01-2010
    “…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…”
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    Dissertation
  15. 15

    Energy Efficient Hadamard Neural Networks by Deveci, T. Ceren, Cakir, Serdar, Cetin, A. Enis

    Published 14-05-2018
    “…Deep learning has made significant improvements at many image processing tasks in recent years, such as image classification, object recognition and object…”
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    Journal Article
  16. 16

    Salient point region Local Binary Patterns descriptor for target tracking by Oguz, Oguzhan, Toker, Kemal Gurhan, Dobrucali, Oguzcan, Cakir, Serdar

    “…In this paper, in order to track UAV's and maritime targets an algorithm which is based on extraction of Local Binary Patterns (LBP) near salient points is…”
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    Conference Proceeding
  17. 17

    Autofocus of infrared cameras based on the cumulative probability of blur detection by Cakir, Serdar, Cetin, A. Enis

    “…The infrared (IR) cameras plays an important role in the measurement and analysis of object signature. However, especially the scientific IR cameras that are…”
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    Conference Proceeding
  18. 18

    Database based fourier coefficient sampling for sparse recovery of infrared sea surface platform images by Cakir, Serdar, Uzeler, H.

    “…Compressive sensing framework states that a signal which has sparse representation in a known basis may be reconstructed from samples obtained from a…”
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    Conference Proceeding
  19. 19

    Compressive sensing applications for single detector seekers by Uzeler, H., Cakir, S.

    “…In this work, the application of compressive sensing theory to single detector seekers is investigated. Compressive sensing is a novel signal processing…”
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    Conference Proceeding
  20. 20

    Türkiye’De Reklamcılığın Gelişimi, Dergi Reklamcılığının Yeri ve önemi by Çakır, Serdar

    Published 01-01-2004
    “…Çağdaş reklam anlayışının günümüz toplumlarının gelişiminde oynadığı rol çok önemlidir. Reklam günümüzdetoplumların ayrılmaz bir parçası haline gelmiştir…”
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    Dissertation