Data for: Mirror Symmetry Detection in Curves Represented by Means of the Slope Chain Code

We propose a new method to characterize mirror-symmetry in open and closed curves represented by means of the Slope Chain Code. This representation is invariant under scale, rotation, and translation. The proposed method allows the classification of symmetrical and asymmetrical contours. It also introduces a measure to quantify the degree of symmetry in quasi-mirror-symmetrical objects. Furthermore, it allows the identification of multiple symmetry axes and their location. The proposed algorithm provides properties such as: global, local, and multiple axes’ detection, as well as the capability to classify symmetrical objects.

本研究提出一种新方法，用于表征以斜率链码（Slope Chain Code）表示的开放与闭合曲线的镜像对称性。该表示方法具备尺度、旋转与平移不变性。所提方法可完成对称与非对称轮廓的分类任务，同时引入了一种度量手段，用以量化准镜像对称物体的对称程度。此外，该方法还能够识别多条对称轴及其位置。所提算法具备多项特性，包括全局、局部及多对称轴检测能力，以及对称物体分类功能。