<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc='http://purl.org/dc/elements/1.1/' xmlns:oai_dc='http://www.openarchives.org/OAI/2.0/oai_dc/' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xsi:schemaLocation='http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd'>
<dc:creator>Teodorescu, H.L.</dc:creator>
<dc:creator>Rusu, M.</dc:creator>
<dc:date>2013-01-01</dc:date>
<dc:description xml:lang='en'><p>We present the concept of image segmentation based on Gauss - Uniform Noise Mixed Models (GUN-MM) that we also introduce in this paper, the theoretical foundation of the segmentation method based on this model, results of the method on several classes of pictures, and a comparison with other methods. The proposed implementation of the G-UN-MM method has a simple and sound theoretical foundation and is not computationally demanding. It produces in many cases better segmentation results than other methods that are more computationally intensive.</p></dc:description>
<dc:source>Proceedings of the Romanian Academy Series A - Mathematics Physics Technical Sciences Information Science  () 78-85</dc:source>
<dc:subject>algorithm</dc:subject>
<dc:subject>Gauss mixed model</dc:subject>
<dc:subject>Heuristic rules</dc:subject>
<dc:subject>Histogram</dc:subject>
<dc:subject>image segmentation</dc:subject>
<dc:subject>statistical model</dc:subject>
<dc:subject>Uniform noise mixed model</dc:subject>
<dc:title>Image segmentation based on G-UN-MMS and heuristics. theoretical background and results</dc:title>
<dc:type>info:eu-repo/semantics/article</dc:type>
</oai_dc:dc>