Search Results - "Öztürk, Ceyda Nur"

An assessment of 2-D and 3-D interest point detectors in volumetric images by Nur Öztürk, Ceyda

“…Many interest point detectors have been designed so far to work in two dimensional (2-D) images. However, expansion of these detectors into the third dimension…”
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AUTOMATIC SEGMENTATION OF CARTILAGE IN HIGH-FIELD MAGNETIC RESONANCE IMAGES OF THE KNEE JOINT WITH AN IMPROVED VOXEL-CLASSIFICATION-DRIVEN REGION-GROWING ALGORITHM USING VICINITY-CORRELATED SUBSAMPLING by Öztürk, Ceyda Nur, Albayrak, Songül

“…Abstract Anatomical structures that can deteriorate over time, such as cartilage, can be successfully delineated with voxel-classification approaches in…”
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Reinforcement learning-based mobile robot navigation by ALTUNTAŞ, Nihal, İMAL, Erkan, EMANET, Nahit, ÖZTÜRK, Ceyda Nur

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Multiple Small-Scale Object Detection in Aerial Vehicle Images using Standard or Optimized YOLO Detectors by Kaymakci, Zekeriya Eren, Akarsu, Meftun, Ozturk, Ceyda Nur

“…Widespread employment of low-altitude aerial vehicles that are equipped with cameras and communication devices has increased the range of mobile surveillance…”
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Efficient cartilage segmentation in high-field knee MR images with voxel-classification-driven region-growing algorithm by Ozturk, Ceyda Nur, Albayrak, Songul

“…This paper presents a voxel-classification-driven region-growing algorithm for automatically segmenting the whole femoral, tibial, and patellar cartilage…”
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Edge detection on MR images with Marr-Hildreth method extended to third dimension by Ozturk, Ceyda Nur, Albayrak, Songul

“…In this study, Marr-Hildreth method applied on mostly two dimensional (2-D) images was extended in order to run on three dimensional (3-D) images. After the…”
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Comparison of Object Tracking Methods and Performance Analysis of Kernelized Correlation Filter with Different Appearance Models by Musaoglu, Elnura, Ozturk, ve Ceyda Nur

“…Object tracking enables determination of relevant objects in the moving images without the need for object detection in each frame. There are various studies…”
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