基于小波变换分析要点的工业过程控制系统图像目标检测

2016 2nd International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM) Pub Date : 1900-01-01 DOI:10.1109/ICIEAM.2016.7911633

M. Shleymovich, M. Medvedev, S. Lyasheva

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引用次数: 20

摘要

本文研究了工业过程控制系统中图像的目标检测问题。该任务分为两个阶段:图像分割和将图像与模板值进行匹配。提出了一种基于小波变换显著点检测的图像分割方法。突出点描述符用于图像匹配;提出了基于小波变换的描述子构造新方法。小波变换用于图像分割和图像匹配的统一数学工具减少了对目标的计算量，从而实现了检测任务的求解。

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Object detection in the images in industrial process control systems based on salient points of wavelet transform analysis

The article considers the task of object detection on the images in industrial process control systems. The task is solved in two stages: image segmentation and matching the images of the segments with the template values. A new method based on wavelet transform salient points detection is proposed for image segmentation. Salient point descriptors are used for image matching; the new method of descriptor construction based on wavelet transform is proposed. The unified mathematical tool of the wavelet transform used for image segmentation and image matching decreases computational load for objects enabling detection tasks solving.

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来源期刊

2016 2nd International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)

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