摘要
简要回顾了火炮身管内膛疵病的光学检测方法及其局限性,详细介绍了目前重点研究的光电窥膛检测方法,分析了取得的成果和存在的问题。对火炮身管内膛疵病检测的发展方向进行了预测与展望,指出基于机器视觉的研究是一个新的方向。探讨了今后的研究思路,提出首要的任务是在软件方面实现“采集一识别一判定”的自动运行,为此需要重点研究疵病检测的机器视觉图像信息、图像的纹理特征分析技术、疵病评定体系等3方面的内容。
Optical method of flaw detection for gun barrel bore and its limitations are reviewed in brief. For the method of photoelectric detection, representative research works are introduced in detail. The achievements and the problems in existence are analyzed. The expectation of development trends is given. It is pointed out that research based on machine vision is a new direction. Future research thought in is discussed, and the chief task is realization of running "collection-recognition-judgment" in software automatically. So the emphasis shall be put on image information of flaw detection for machine vision, image textural feature analysis and flaw assessing system.
出处
《军械工程学院学报》
2009年第1期48-52,共5页
Journal of Ordnance Engineering College
关键词
火炮
身管内膛
疵病
光电检测
机器视觉
gun
barrel bore
flaw
photoelectric detection
machine vision