Image segmentation with Improved region modeling

Ersoy, Ozan
Image segmentation is an important research area in digital image processing with several applications in vision-guided autonomous robotics, product quality inspection, medical diagnosis, the analysis of remotely sensed images, etc. The aim of image segmentation can be defined as partitioning an image into homogeneous regions in terms of the features of pixels extracted from the image. Image segmentation methods can be classified into four main categories: 1) clustering methods, 2) region-based methods, 3) hybrid methods, and 4) bayesian methods. In this thesis, major image segmentation methods belonging to first three categories are examined and tested on typical images. Moreover, improvements are also proposed to well-known Recursive Shortest-Spanning Tree (RSST) algorithm. The improvements aim to better model each region during merging stage. Namely, grayscale histogram, joint histogram and homogeneous texture are used for better region modeling.


Multi-camera video surveillance : detection, occlusion handling, tracking and event recognition
Akman, Oytun; Alatan, Abdullah Aydın; Department of Electrical and Electronics Engineering (2007)
In this thesis, novel methods for background modeling, tracking, occlusion handling and event recognition via multi-camera configurations are presented. As the initial step, building blocks of typical single camera surveillance systems that are moving object detection, tracking and event recognition, are discussed and various widely accepted methods for these building blocks are tested to asses on their performance. Next, for the multi-camera surveillance systems, background modeling, occlusion handling, tr...
Implementation and simulation of mc68hc11 microcontroller unit using systemc for co-design studies
Tuncalı, Cumhur Erkan; Aşkar, Murat; Department of Electrical and Electronics Engineering (2007)
In this thesis, co-design and co-verification of a microcontroller hardware and software using SystemC is studied. For this purpose, an MC68HC11 microcontroller unit, a test bench that contains input and output modules for the verification of microcontroller unit are implemented using SystemC programming language and a visual simulation program is developed using C# programming language in Microsoft .NET platform. SystemC is a C++ class library that is used for co-designing hardware and software of a system...
3D face reconstruction using stereo images and structured light
Öztürk, Ahmet Oğuz; Halıcı, Uğur; Department of Electrical and Electronics Engineering (2007)
Nowadays, 3D modelling of objects from multiple images is a topic that has gained great recognition and is widely used in various fields. Recently, lots of progress has been made in identification of people using 3D face models, which are usually reconstructed from multiple face images. In this thesis, a system including stereo cameras and structured light is built for the purpose of 3D modelling. The system outputs are 3D shapes of the face and also the texture information registered to this shape. Althoug...
Textured motion analysis
Öztekin, Kaan; Akar, Gözde; Department of Electrical and Electronics Engineering (2005)
Textured motion - generally known as dynamic or temporal texture - is a popular research area for synthesis, segmentation and recognition. Dynamic texture is a spatially repetitive, time-varying visual pattern that forms an image sequence with certain temporal stationarity. In dynamic texture, the notion of self-similarity central to conventional image texture is extended to the spatiotemporal domain. Dynamic textures are typically videos of processes, such as waves, smoke, fire, a flag blowing in the wind,...
Performance evaluation of similarity measures for dense multimodal stereovision
Yaman, Mustafa; Kalkan, Sinan (SPIE-Intl Soc Optical Eng, 2016-05-01)
Multimodal imaging systems have recently been drawing attention in fields such as medical imaging, remote sensing, and video surveillance systems. In such systems, estimating depth has become possible due to the promising progress of multimodal matching techniques. We perform a systematic performance evaluation of similarity measures frequently used in the literature for dense multimodal stereovision. The evaluated measures include mutual information (MI), sum of squared distances, normalized cross-correlat...
Citation Formats
O. Ersoy, “Image segmentation with Improved region modeling,” M.S. - Master of Science, Middle East Technical University, 2004.