南方医科大学学报 ›› 2006, Vol. 26 ›› Issue (05): 667-669.

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整形外科面部轮廓正面图像的边缘检测和模型建立

王渭滨; 田军委; 黄永宣; 柳大烈;   

  1. 南方医科大学珠江医院整形外科; 西安交通大学电信学院; 南方医科大学珠江医院整形外科 广东广州; 510282; 陕西西安; 710054; 广东广州;
  • 出版日期:2006-05-20 发布日期:2006-05-20

Edge detection and modeling in frontal facial contour image for plastic surgery

WANG Wei-bin1,TIAN Jun-wei2,HUANG Yong-xuan2,LIU Da-lie1 1Department of Plastic Surgery,Zhujiang Hospital,Southern Medical University,Guangzhou 510282,China;2Telecommunication College,Xi’an Jiaotong University,Xi’an 710054,China   

  1. 南方医科大学珠江医院整形外科; 西安交通大学电信学院; 南方医科大学珠江医院整形外科 广东广州; 510282; 陕西西安; 710054; 广东广州;
  • Online:2006-05-20 Published:2006-05-20

摘要: 目的探索一种新的面部轮廓图像边缘检测和模型建立方法。方法利用面部轮廓的先验知识,在Sobel边缘检测算子的基础上,以边缘最小曲率半径、凹凸性和边缘最大间断距离为约束,以基于搜索圆的变步长面部轮廓边缘搜索算法,实现边缘检测。针对检测到的轮廓边缘,利用最小二乘曲线拟合原理建立轮廓模型,分析了阶次对模型精度的影响。结果实验表明这种基于搜索圆的变步长面部轮廓边缘搜索算法所检测到边缘与实际边缘吻合良好,且可以很好剔除冗余边界。对所检测到的边缘,用最小二乘曲线拟合方法建立了面部轮廓模型,并比较了2次、4次、10次模型与实际轮廓的差异,证实模型阶次越高,和实际轮廓的误差就越小,其中以10次模型较为理想。结论本实验提出并论证了基于搜索圆的变步长面部轮廓边缘搜索算法和最小二乘曲线拟合方法建立了面部轮廓模型的方法在面部轮廓建模中的有效性和实用性,为进一步实现面部轮廓数字图像处理系统的设计提供了理论基础。 

Abstract: Objective To find a new method for edge detection and modeling in frontal facial contour image.Methods Searching circle-based edge detection algorithm was developed on the basis of Sobel edge detector.Apriori knowledge of the facial contour and searching limitations as the minimum curvature radius,concavo-convex property,and maximum edge disconnected distance were used to detect the edge of frontal facial contour.The frontal facial contour model was established with least squares curve fitting methods,and the relationship between the model rank and model precision was analyzed.Results The edge detected by the new method was consistent with the actual edge of the facial contour and the irrelevant edge was well eliminated.Variation of the 2,4,10 time models from the actual image were compared,which identified the 10 time model as the best one.Conclusion The effectiveness and practicability of this new method for edge detection and modeling has been tested,which provides a theoretic basis for designing facial contouring image system. 

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