连铸坯裂纹缺陷实时图像增强方法研究

Xuanbing Qiu, Gang Li, Jilin Wei, Cao Wei
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引用次数: 2

摘要

在连铸坯缺陷的嵌入式图像检测中,裂纹图像增强是后续识别的重要依据。图像增强的效果,特别是图像增强的实时性,决定了该系统能否被采用。基于双核OMAP3530,我们搭建了一个嵌入式实时在线测试硬件设备。考虑到系统的实时性和高温场景的环境噪声,通过拉普拉斯锐化和直方图均衡化,对CCD传感器获得的钢坯图像进行了简单有效的增强。Matlab仿真分析提高了图像的对比度改善指数(CII),缩短了仿真时间;为后续用DSP硬件实时识别钢坯缺陷提供了强有力的前提条件。
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A Method of Crack Defects Real-Time Image Enhancement in Continuous Casting Billet
In the embedded image detection of continuous casting billet defects, the image enhancement of crack is an important criterion in the subsequent recognition. The effect of image enhancement, especially the real-time of image enhancement, decides whether the system can be adopted or not. Based on the dual-core OMAP3530, we set up an embedded real-time online testing hardware device. Taking the system's real-time and the environmental noise of the high-temperature scene into account, the billet image, obtained by the CCD sensor, is simply and effectively enhanced by going through the Laplacian sharpening and the Histogram equalization. Matlab simulation analysis improves the Contrast Improvement Index (CII) of image and cuts down the simulating time; and it provides a powerful precondition for the subsequently billet defects real-time identification by DSP hardware.
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