目标与过程控制系统中基于图像点能量估计的轮廓分割

M. Shleymovich, M. Medvedev, S. Lyasheva
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引用次数: 11

摘要

本文介绍了对象与过程控制系统中图像处理与分析的任务。研究了图像分割方法和图像表示模型。描述了作者设计的图像表示模型。该模型基于图像点能量估计。为了获得图像点的能量估计(能量权重),使用了小波变换。模型数据允许我们分析几个图像点的传导。如果一个点的能量权重超过给定或计算的阈值,则认为它是一个突出点。突出点集中在区域边界上。点位置的确定是作者设计并描述的轮廓分割方法的基础。给出了基于监督质量准则的分割算法估计结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Contour segmentation based on image points energy estimation in object and processes control systems
In the article the tasks of image processing and analysis in objects and processes control systems are described. The methods of image segmentation and image representation models are considered. The models of image representation designed by the authors are described. The presented models are based on image points energy estimation. To obtain the image points energy estimation (energy weights), the wavelet transform is used. The model data allows us to analyze several image points conduction. A point is considered as a salient point if its energy weight exceeds the given or calculated threshold value. Salient points are concentrated on the region boundaries. The determination of points location is the basis of the contour segmentation method designed by the authors and described in this paper. The results of the segmentation algorithm estimation with the help of supervisor quality criteria are given.
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