Speaker
Vedran Novoselac
(Mechanical Engineering Faculty in Slavonski Brod)
Description
Considering the Gaussian mixture model the restriction-based iterative method is developed. The proposed method applied the conditional expectations for parameter re-estimation in an iterative process, where the rejection of the model component's tails of low probabilities is considered. In order to study the proposed method, continuous and discrete random variable cases are observed, where the results and properties are conducted by considering the Banach, and the derivative of Brouwer's fixed point theorem, respectively. Finally, the various numerical examples and the application of the proposed method in digital image processing for image segmentation and pattern recognition are presented.
Primary author
Vedran Novoselac
(Mechanical Engineering Faculty in Slavonski Brod)
Co-author
Dr
Anita Katić
(The Department of Social Sciences and Humanities of the University of Slavonski Brod)
