CAJ | 학술논문

针对大部分骨架计算方法对轮廓噪声的极端敏感性问题，该文提出一种基于贝叶斯模型的骨架裁剪方法。该方法利用贝叶斯理论对骨架及其生长过程进行建模，进而通过对模型的迭代优化实现骨架候选分支的筛选裁剪。由于已有的重建误差率在分析骨架时不能很好地体现骨架简洁程度，故该文在骨架重建误差率的基础上综合考虑骨架简洁度，提出骨架有效率的概念来对骨架做客观定量分析。实验结果表明该文算法对轮廓噪声具有较好的鲁棒性，且裁剪出的骨架相比现有算法得到的骨架结构更加简单，对形状描述更加准确。
침대대부분골가계산방법대륜곽조성적겁단민감성문제，해문제출일충기우패협사모형적골가재전방법。해방법이용패협사이론대골가급기생장과정진행건모，진이통과대모형적질대우화실현골가후선분지적사선재전。유우이유적중건오차솔재분석골가시불능흔호지체현골가간길정도，고해문재골가중건오차솔적기출상종합고필골가간길도，제출골가유효솔적개념래대골가주객관정량분석。실험결과표명해문산법대륜곽조성구유교호적로봉성，차재전출적골가상비현유산법득도적골가결구경가간단，대형상묘술경가준학。
Considering the problem that most of the existing skeleton calculation methods exhibit extreme sensitivity to the shape noise, a Bayes based algorithm for the skeleton pruning is proposed . The algorithm models the skeleton and growth process with Bayesian statistics framework. Based on the model, an iterative optimization is performed to prune the candidate branches. Due to the fact that the existing reconstruction error can not evaluate the simplicity of skeletons well, a new concept called Effective Rate is proposed to make quantitative analysis on the pruned skeleton with taking the simplicity into consideration. The experiments show that the proposed algorithm is robust to the shape noise and acts better in simplifying the skeleton structure and representing shape accurately.