关键词: 图像分割, 轮廓提取, 分水岭算法, 标记提取

Abstract: To accurately segment the hand profile in complicated conditions, an improved watershed algorithm is proposed. Codebook is adopted to model the background for extracting the foreground. The skeletons of foreground and background are extracted by thinning. These skeletons are used as markers in watershed transformation. Freeman chain code is introduced to smooth the hand profile in order to obtain one that is most close to visual effects. The sample picture has 1280 pixels×720 pixels. The precision of segmentation results are assessed by two measures respectively based on distance and region. The averaging deviation is within 5 pixels and misclassification error is within 9 percent. Experimental results demonstrate that the algorithm can effectively solve over segmentation and accurately extract the hand profile, which is also robust under complicated background or in varying illumination conditions.

Key words: image segmentation, profile extraction, watershed algorithm, marker extraction