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MatLab Application Development of Accurate Detection and Instant Scoring System for Shooting Drills

机译:MATLAB应用于射击钻头准确检测和即时评分系统的应用

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The objective of this research was to make it easy to calculate the score on shooting drills, to help replace operators, to help evaluate the athlete's performance in shooting practice and to avoid cheating in shooting calculations. At this time in doing the calculations score on practice shooting still use score calculation manually. In addition to requiring time and effort is wasted so in the shoot practice and needed a long time when the calculation of shot scores. Image processing method used is the edge detection method, include image restoration, image enhancement, data compaction, image analysis, and image reconstruction. By using some method on image processing to detect and assess on the target into helping operators in the field. The result of this study is that the image segmentation using multiple functions in MatLab can avoid the shadow effects on image. On these systems, the image itself is limited in the form of a circular firing target thickness 0.1 mm circles line up to 0.22 mm and the diameter of 154 mm. His own bullet-sized diameter 4.5 mm. Percentage error rates on application own 4 % and the percentage accuracy detection 98.01% for 100 data. It can be concluded that this tool is capable of reading the image of a bullet trace in the form of a circle, and to reduce the impact of shadows on the image of the bullet.
机译:本研究的目的是让您轻松计算射击钻头的分数,以帮助更换运营商,以帮助评估运动员在射击练习中的表现,并避免在拍摄计算中作弊。此时在执行计算得分时,实践拍摄仍然使用分数计算手动计算。除了需要时间和努力之外,在拍摄练习中浪费,需要很长时间拍摄分数。使用的图像处理方法是边缘检测方法,包括图像恢复,图像增强,数据压实,图像分析和图像重建。通过在图像处理中使用一些方法来检测和评估目标中的帮助操作员。本研究的结果是使用MATLAB中的多个函数的图像分割可以避免图像的阴影效应。在这些系统上,图像本身的圆形烧制目标厚度为0.1mm圆形线的形式受到高达0.22mm,直径为154mm的形式。他自己的子弹大小直径4.5毫米。应用程序百分比误差率为4%,百分比精度检测为100个数据。可以得出结论,该工具能够以圆圈的形式读取子弹迹线的图像,并减少阴影对子弹图像的影响。

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