Evaluation of edge detection algorithm of frontal image of facial contour in plastic surgery

With the improvement of medical levels and continuous people’s living standards, demand for beauty by general public is increasing. The plastic surgery industry has also developed leaps bounds. People’s dissatisfaction with their own facial appearance, injuries some other reasons have prompted people to carry out reconstruction, rapidly. However, in current surgery, edge detection effect on contour image general. In order improve lines images, this paper proposed a line generation algorithm. First, effects four operators were compared. After comparing effects, Sobel operator was used as input data generate an Then, grayscale features tissue symmetry perform bidirectional tracking detected extract lines. addition, features, midpoint method can be auxiliary contours. algorithm verified set CT (Computed Tomography) images experiment. results showed that new accelerated speed, had good denoising performance, enhanced about 12.05% compared traditional validity practicability verified, it provided theoretical basis further realizing design digital processing system.