Image mosaicing

Özzeybek, Ali


Image analysis in the Turkish white goods market
Şahin, Murad; Çağlı, Uğur; Department of Business Administration (1995)
Image segmentation based on variational techniques
Altınoklu, Metin Burak; Ünver, Baki Zafer; Department of Electrical and Electronics Engineering (2009)
In this thesis, the image segmentation methods based on the MumfordShah variational approach have been studied. By obtaining an optimum point of the Mumford-Shah functional which is a piecewise smooth approximate image and a set of edge curves, an image can be decomposed into regions. This piecewise smooth approximate image is smooth inside of regions, but it is allowed to be discontinuous region wise. Unfortunately, because of the irregularity of the Mumford Shah functional, it cannot be directly used for ...
Image segmentation based on variational techniques
Duramaz, Alper; Ünver, Baki Zafer; Department of Electrical and Electronics Engineering (2006)
Recently, solutions to the problem of image segmentation and denoising are developed based on the Mumford-Shah model. The model provides an energy functional, called the Mumford-Shah functional, which should be minimized. Since the minimization of the functional has some difficulties, approximate approaches are proposed. Two such methods are the gradient flows method and the Chan-Vese active contour method. The performance evolution in terms of speed shows that the gradient flows method converges to the bou...
Image segmentation using a two dimensional genetic algorithm
Mut, Oğuz; Yarman Vural, Fatoş T.; Department of Computer Engineering (2001)
Image In Painting A Comparative Study with Related Techniques
Kurt, Cande; Ulusoy Parnas, İlkay; Batmaz, İnci (null; 2016-05-18)
Citation Formats
A. Özzeybek, “Image mosaicing,” Middle East Technical University, 2000.