基于腐蚀滤波的运动目标检测的图像处理

Image processing of moving objects detection based on erosion filter

在智能化数字视频监控系统中,获得的运动目标检测结果,经常存在一定程度的噪声。如果不对其去除,就会影响后续的图像处理质量。论文在对传统均值滤波研究的基础上,提出了一种形态学处理中的腐蚀滤波方法,对图像进行去噪,来改善检测结果的质量,以提高运动目标检测的精确度和视觉效果。通过对实际运动目标检测结果进行去噪处理,图像中的噪声点基本被删除,达到了预期的效果,防止了误检测。实验结果表明,该方法具有实用性和有效性。

In the intelligent video surveillance system,the results of moving objects detection involve some noise.If they are not removed,the quality of image will be influenced.After studying on the traditional mean filter method,this paper points to a kind of erosion filter method based on morphology processing.The method can remove the noise of images to improve the quality of detection results,so that it can enhance the accuracy of moving objects detection and visual effect.Through processing the real detection of moving objects,the noisy points are canceled.The processing results reach the expecting goal and prevent wrong de- tection.The experimental results show that the methods in the paper are practicability and availability.