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This paper presents an object recognition algorithm for machine vision in the factory robot automation application. Especially when the object is rotational states, the automated machine needs the exact angle and recognition algorithm of high reliability with fast processing speed. Therefore, in this paper, we propose a method focusing on the robust-rotation recognition algorithm by using a CCD (Centroid...
In this paper, we propose a new image labeling algorithm for object analysis of the binary images. With one-scan process, the foreground (object) pixel is assigned a provisional label, and label equivalences between provisional labels are merged later. Our approach merges the region of the labeling of the foreground image during the one-scan labeling process. Compared with the existing conventional...
This paper presents a novel adaptive sampling method for transient electrocardiogram (ECG) signal detection. The main contribution of our approach is to implement an efficient adaptive sampling scheme with dictionary-based redundant match processing that enhances the power and memory capacity performance in the electrocardiogram sensor nodes. In our scheme, the architecture of the adopted redundant...
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