CAJ | 학술논문

针对工业零视觉精密检测中高分辨率镜头固有的小视场问题，本文提出一种利用特征点之间的三角几何约束关系对特征点的局部领域进行自相关分析的算法，该方法根据重叠图像间的相关性，采用改进的图像配准方式实现了小视场高分辨率小模数齿轮图像的快速准确拼接。实验结果表明，拼接图像与原图像的结构相似度超过0.98；与现有通过区域配准及特征点配准的图像拼接算法相比，在拼接性能和运算复杂度之间取得了较好的平衡，适合在快速、精密的工业零部件视觉检测中的应用。
침대공업령시각정밀검측중고분변솔경두고유적소시장문제，본문제출일충이용특정점지간적삼각궤하약속관계대특정점적국부영역진행자상관분석적산법，해방법근거중첩도상간적상관성，채용개진적도상배준방식실현료소시장고분변솔소모수치륜도상적쾌속준학병접。실험결과표명，병접도상여원도상적결구상사도초과0.98；여현유통과구역배준급특정점배준적도상병접산법상비，재병접성능화운산복잡도지간취득료교호적평형，괄합재쾌속、정밀적공업령부건시각검측중적응용。
Referring to the limited field of view of the high resolution camera in the visual precision test of industrial parts, an algorithm using the triangular geometric constraint relation and the partial autocorrelation analysis of the feature points is proposed. According to the correlation between the overlapping images, the improved algorithm realize the mosaic of high resolution images of small gear. The simulation experiment results show that the image similarity between the processed image and the original one exceeds 0.98. Compared with the existing regional matching algorithm and the feature points matching algorithm, the proposed algorithm makes a good tradeoff between performance and complexity. Therefore, it is suitable for applications in fast and precisely visual inspection of industrial parts.