线性不变矩及其在图象识别中的应用算法研究

Research of Line Moments and Its Application in Image Boundaries Recognition

在讨论线性不变矩基本性质的基础上 ,对于利用其轮廓信息即能较好描述的图象 ,提出了一种基于线性不变矩的目标识别算法 .该算法包括目标二值化、轮廓提取、线矩计算和分类识别等步骤 .仿真试验表明 ,该算法具有较高的识别精度和良好的抗干扰性 ,计算效率远高于传统方法 ,有着较高的应用价值 .

A simple but efficient scheme based on line moment to recognize the object in a practical project is given. In the scheme, just the feather points are used to calculate the line moment of the boundaries of the object. The results of experiments show that the time complexity of the suggested algorithm is just relation to the number of feather points. The important advantage of the scheme is its efficiency and independence to translation, rotation and scaling of the objects.