Improvement of the watershed algorithm by using edge features and its application to hair style extraction

摘要

Watershed algorithms have been proposed as one type of segmentation method. This method can guarantee a closed and continuous boundary because the region is obtained by growing it from the center, called the mark, to the neighboring pixels. However the two problems of surplus segmentation and non-segmentation may exist at the same time. In order to solve these problems, a method is proposed that combines regions by making a comparison of their brightness after the watershed algorithm using edge features and marks has finished processing. To verify the efficiency of this method, the proposed algorithm is used to extract hair styles from digital images.