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1·Region growing in RGB space is used for color segmentation.

彩色分割采用了基于RGB彩色空间的区域生长法。

2·Then, the object area is extracted through region growing method.

然后通过区域增长方法进行目标区域的提取；

3·Finally the result of segmentation after region growing was attained.

通过进行区域生长，得到了最终的分割结果。

4·Then ROI can be extracted by region growing and the following treatment.

生长结果再经过后续处理最终得到感兴趣区域。

5·Region growing method is introduced in first step to make the algorithm more robust.

区域生长被引入到第一级分割中，使算法更具鲁棒性。

6·The most important idea about the improved method was an adaptive region growing criteria.

该方法的中心思想是自适应地改变区域生长中的生长准则。

7·This paper puts forward a algorithm for segmenting CT sequence image based on region growing.

提出一种基于区域生长的CT序列图像的分割算法。

8·An algorithm, which combines SEM algorithm and region growing method, is put up to segment target.

文中提出了利用SEM算法和区域生长法相结合的方法进行目标分割。

9·We used frame difference and region growing method to divide target and get main color information.

对于待跟踪的运动目标，采用三帧差和区域增长法分割目标并得到主颜色信息。

10·A segmenting algorithm for the human liver MDCT medical images based on small region growing is presented.

提出了一种基于小区域增长的分割算法对人体肝脏的MDCT医学图像进行分割。