基于均值漂移和区域合并的指针仪表图像分割

Panelmeter Image Segmentation Algorithm Based on Mean Shift and Threshold Region Merging

均值漂移算法在图像分割中有着十分重要的作用,考虑到图像的噪声和边缘保持等因素,提出了一种基于均值漂移的图像平滑和基于阈值的区域合并的指针式仪表图像分割方法。首先利用均值漂移算法对图像进行滤波降噪,然后对滤波降噪后的图像通过阈值的区域合并方法进行阈值分割。经过均值漂移滤波后的图像不仅能很好地保持指针仪表图像的边缘特征,还能有效地去除噪声,而基于阈值的区域合并方法能够使得分割的图像效果更明显。

This paper presents a pointer meter image segmentation method based on mean shift to smooth image and threshold region merging.Firstly,the mean shift algorithm for image noise filtering,then segmentation by region merging threshold.The image after mean shift filter can not only maintain a good image edge features of pointer instrument,but also effectively remove noise,and region merging method based on threshold segmentation of images can be made more effective.