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The New Method for Segmentation of Moving Object

机译:移动物体分割的新方法

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Segmentation is a useful technique in image analysis. Traditional image processing techniques based on grey scale images have not provided good results in road traffic applications. To extract moving vehicles from a busy background is still difficult. In this paper, we present a new approach to segment the moving object. This technique combines motion segmentation and region growing. Through the motion segmentation, the approximate position of the object can be determined, and most of the background can be removed. By applying the region growing on the position of motion mask, the object can be extracted and the exact contour of the object can be achieved. The experiment results show that this method is quite promising.
机译:分段是图像分析中的有用技术。基于灰度图像的传统图像处理技术在道路交通应用中没有提供良好的结果。从繁忙的背景中提取移动车辆仍然很困难。在本文中,我们介绍了一种逐步移动对象的新方法。该技术结合了运动分段和区域生长。通过运动分割,可以确定对象的近似位置,并且可以去除大部分背景。通过将生长的区域施加在运动掩模的位置,可以提取物体,并且可以实现物体的精确轮廓。实验结果表明,这种方法非常有前途。

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