基于轮廓分析与三阶不变矩的旋转目标定位算法
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西安职业技术学院西安710077

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TN957.52

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Rotary workpiece match algorithm based on contour analysis and invariant moment features
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Xi′an Vocational and Technical College, Shanxi, Xi’an 710077,China

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    摘要:

    为了解决当前图像定位算法在识别旋转与缩放工件目标时,存在定位成功率不高的问题,提出了基于轮廓分析与不变矩特征的旋转目标定位算法。首先,采用自适应二值化对图像进行预处理,并遍历图像轮廓,完成轮廓序列提取与面积计算,实现对杂质干扰的排除。然后构建三阶不变矩,计算逐一计算图像轮廓序列的三阶不变矩特征,从而建立定位度函数,与模板目标的不变矩特征比较,完成对旋转缩放工件目标定位。实验测试结果表明,与当前图像定位算法相比,在面对缩放+旋转干扰时,本算法拥有更高的定位成功率与鲁棒性。

    Abstract:

    In order to solve the current image matching algorithm in identifying goals, rotation, scaling workpiece has the problem of matching positioning success rate is not high, is proposed in this paper based on the analysis and moment invariant features of rotary workpiece contour matching algorithm. First of all, using the adaptive binarization of image preprocessing, and traverse the image contour, contour sequence was extracted and area computation, realize to rule out the impurity interference. Then by calculating image moment invariant features of contour sequence, establish function matching degree, compared with template target moment invariant features, complete the rotating zoom workpiece target matching. Test results show that compared with the current image matching algorithm, the target is zoom, rotate interference, in this paper, matching algorithm has a higher success rate.

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吴鹃.基于轮廓分析与三阶不变矩的旋转目标定位算法[J].电子测量技术,2017,40(5):164-167

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  • 在线发布日期: 2017-07-13
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