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In the field of material growth, the quantum dot (QD) image analysis is a fundamental tool. The main challenge is that such study is used to be made by nonautomatic procedures which are time consuming and subjective. We aim to implement an algorithm of automatic analysis of the QDs images. In this frame, efficient QDs segmentation is prerequisite. In this paper, a fast and robust method for the visual...
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