一种带有印花图案服装图像的轮廓提取

 引入轮廓误差和支点等概念，提出了新的轮廓提取方法并应用于一种带有印花图案服装图像。首先通过形态学方法提取初始轮廓，再将初始轮廓划分为若干个单值分支，最后通过轮廓误差计算消除分支内的纹理噪声。研究表明，基于形态学方法的初始轮廓提取算法可以有效去除服装图像内部的像素点和外部的阴影与水印；采用轮廓误差计算可以有效识别纹理噪声数据，修补印花图案对服装轮廓的影响。与其它轮廓提取方法相比，提出的算法更高效。

Contour extraction from garment images with printed patterns

Introducing the concepts of contour error and branch point, a new approach was put forward and applied to contour extraction from a certain garment images with printing patterns. Firstly, the original contour is extracted based on the morphology, and then the original contour is divided into several single-value branches. Finally, the texture noises are eliminated based on the contour error computation. The results indicated that original contour extraction algorithm based on the morphology can effectively remove image pixels within the garment, the shadow and watermark outside. The contour error computation technology can effectively identify the texture noise data in the branch and repair the effects of printing pattern to garment contour. Meanwhile contrasting to other methods, the proposed algorithm can realize the contour extraction in high efficiency.