Structure preserving binary image morphing using Delaunay triangulation

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• 作者：Abbas Cheddad ^{abbas.cheddad@bth.se}
• 关键词：Binary image ; Delaunay triangulation ; Dilation ; Mathematical morphology ; Set theory ; Structuring element ; Distance transform ; Pattern recognition
• 刊名：Pattern Recognition Letters
• 出版年：2017
• 出版时间：1 January 2017
• 年：2017
• 卷：85
• 期：Complete
• 页码：8-14
• 全文大小：3072 K
• 卷排序：85

文摘

Multiple dilation rapidly deforms object structure using mathematical morphology. Preserving object structure is of paramount importance in pattern recognition. A new geometric-based mechanism for binary image dilation is proposed. Our method exploits Delaunay triangulation; a versatile geometric structure. Our method shows high performance when applied to handwritten digit classification.