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Weapon Detector System by Using X-ray Image Processing Technique

机译:X射线图像处理技术的武器检测系统

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The images in the research were obtained from the internet because there is no x-ray camera. After preparing images, the next step is to test that the evaluation used to analyze the suspicious images. The images were detected by Canny Edge Detector algorithm that consists of four steps that started by smoothing the images with a Gaussian filter to eliminate interfering signals. Then, it calculated magnitude and orientation of gradient. Non-maxima Suppression and Gradient Magnitude were used to create thinner edges. The last step is double threshold algorithm to identify edge pixels and connect the edges by optimizing image recognition technique. When detecting a suspicious object, the system would send the notification. The result of this project is that the template matching algorithm was 80% accurate.
机译:研究中的图像是从互联网上获得的,因为没有X射线照相机。在准备好图像之后,下一步就是测试用于评估可疑图像的评估。图像由Canny Edge Detector算法检测,该算法包括四个步骤,首先使用高斯滤波器对图像进行平滑处理以消除干扰信号。然后,它计算了梯度的大小和方向。非最大值抑制和渐变幅度用于创建较薄的边缘。最后一步是双阈值算法,通过优化图像识别技术来识别边缘像素并连接边缘。当检测到可疑对象时,系统将发送通知。该项目的结果是模板匹配算法的准确性为80%。

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