This paper introduces a still image segmentation technique based on an active contour obtained via single-layer CNNs. The contour initially laid on the frame of the image shrinks, deforms and multiplies until it matches the edges of each of the objects present in the scene. The shape of each object in the image is accurately extracted and nested objects, if any, are correctly detected. Experimental measures of the accuracy of the segmentation were carried out using the Hausdorff distance

2D Still-Image segmentation with CNN-Amoeba

IANNIZZOTTO, Giancarlo;LA ROSA, FRANCESCO;XIBILIA, Maria Gabriella
2003

Abstract

This paper introduces a still image segmentation technique based on an active contour obtained via single-layer CNNs. The contour initially laid on the frame of the image shrinks, deforms and multiplies until it matches the edges of each of the objects present in the scene. The shape of each object in the image is accurately extracted and nested objects, if any, are correctly detected. Experimental measures of the accuracy of the segmentation were carried out using the Hausdorff distance
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11570/1729614
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