During the segmentation of color image

optical flow methods can acquire the moving regions

but it can hardly obtain the correct segmentation boundaries of moving objects. Meanwhile

familiar algorithms usually suffer from over-segmentation. To overcome the shortage of optical flow method and suppress the over-segmentation

while preserving the salient regions

a new motion coherence image segmentation algorithm fused with multi-feature is proposed. First

the initial regions are acquired by the Mean Shift algorithm; second

the regions with homogenization of visual sensing are merged by utilizing spatial information (including color

edge and region area); third

the motion coherence regions are merged by using temporal information; finally

the segmentation result is obtained. The experimental results demonstrate that by combining spatial-temporal information

the proposed method can suppress over-segmentation effectively. It therefore does not only make up for the shortage that correct object edges can hardly be acquired by using optical flow

while also increasing the completeness of the segmented objects. Compared with two popular color image segmentation algorithms

our method gets better results.