基于HALCON的印花鞋面剪裁图像处理系统设计

Design of image processing system of cutting printed upper system based on HALCON

摘要:

为实现自动化纺织运动印花鞋面剪裁，提出了一种基于HALCON的印花鞋面剪裁图像处理方法。利用工业摄像头获取标准印花鞋面图像进行图像采集，运用中值滤波方法对其进行图像去噪以减少噪声干扰，并进行阈值分割得到二值图像，利用连通区域面积筛选得到标准印花区域，再对印花区域图像进行Canny边缘检测得到标准印花轮廓作为模板。对待剪裁印花鞋面图像进行图像采集，并进行中值滤波图像去噪，再利用金字塔分层搜索策略以及Hausdorff距离作为相似性度量寻找模板的最佳匹配，利用仿射变换最终得到待剪裁印花鞋面的剪裁轮廓信息，对制鞋业实现自动化智能剪裁具有一定的现实意义。

Abstract:

An image processing method of cutting sports upper for automated cutting based on HALCON was proposed. The standard printed upper image was taken by industry camera. The median filtering method is used for image smoothing to reduce the noise interference. In order to locate the target object and the target area in the image, use threshold segmentation for the standard upper image. Canny edge detection of the extracted upper printed image to obtain the required standard upper cut contour profile image information. The uncut upper image was taken, and using the median filtering method to smooth image. Using pyramid hierarchical search strategy and Hausdorff distance as the best match to find templates for similarity measures, contour profile image information of uncut upper was obtained by affine transformation. This system has important practical significance for automatic and intelligent cutting of shoe-making industry.