论文标题

基于补偿的基于凸的变换,用于图像处理和形状审讯

Compensated Convex Based Transforms for Image Processing and Shape Interrogation

论文作者

Orlando, Antonio, Crooks, Elaine, Zhang, Kewei

论文摘要

本文回顾了补偿凸变换理论的一些最新应用或作者在图像处理和塑造询问方面开发的接近船体,并特别注意Hausdorff稳定性和多尺度性能。该论文还包含数值实验,这些实验证明了我们方法的性能与最先进的实验相比。

This paper reviews some recent applications of the theory of the compensated convex transforms or of the proximity hull as developed by the authors to image processing and shape interrogation with special attention given to the Hausdorff stability and multiscale properties. The paper contains also numerical experiments that demonstrate the performance of our methods compared to the state-of-art ones.

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