New York: Institute of Electrical and Electronics Engineers (IEEE)
In this paper, we propose a new video object segmentation algorithm using the morphological technique. Several video object segmentation algorithms use mathematical morphology to generate the object masks, however the operations of the mathematical morphology have two drawbacks: (1) high computation complexity and (2) the quality of the object masks depends on the chosen morphological structuring element. There are many techniques to speed up the morphological operations by hardware implementation, but without discussions about reducing the influence of the choice of the structuring elements. By adding a pre-processing mechanism, the proposed algorithm effectively reduce the influences of the chosen structuring elements based on continuity of shape features and times of morphological operations. Experimental results show that our algorithm can improve the speed of filling operations of the object masks and accuracy of segmentation.
Ubi-Media Computing, 2008 First IEEE International Conference on, pp.255-260