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This paper presented an online quality inspection system based on artificial neural networks. Chromatism classification and edge detection are two difficult problems in glass steel surface quality inspection. Two artificial neural networks were made and the two problems were solved. The one solved chromatism classification. Hue, saturation and their probability of three colors, whose appearing probabilities were maximum in color histogram, were selected as input parameters, and the number of output node could be adjusted with the change of requirement. The other solved edge detection. In this neutral network, edge detection of gray scale image was able to be tested with trained neural networks for a binary image. It prevent the difficulty that the number of needed training samples was too large if gray scale images were directly regarded as training samples. This system is able to be applied to not only glass steel fault inspection but also other product online quality inspection and classification. 相似文献
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为了将煤矿安全数据形象化,使之更符合人的感知、判断方式,并达到信息共享的目的,综合运用地理信息系统开发技术、人机工效学、计算机技术,应用MapX与Visual Basic6.0、MapXtreme与ASP.NET构建信息共享平台、实现平台图属互访、以及静态信息可视化与动态信息可视化进行了研究。结果表明:利用C/S和B/S混合体系结构,通过将煤矿实际地理位置及其属性信息在矿图上关联显示,并将数值转化为可视化图形,属性数据以文本、图片、视频等方式进行显示,构建的煤矿安全信息共享平台,可以更直观地将生产一线信息快速、准确地以共享的模式表现出来。该成果为企业建立安全信息共享平台提供了可借鉴的实例。 相似文献
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对当前道路交通标线涂料应用的状况进行了分析,并对各种类型的性能和优缺点进行对比,对涂料的合理选用提出了建议。 相似文献
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