皮革拉伸绷展点的定位方法研究与算法实现

Research and Algorithm Implementation of Positioning Method of Leather Stretching Point

为推进皮革行业的智能化发展,解决皮革绷板干燥工序中拉伸绷展点智能化选取的难题,本文提出了一种基于画圆相交法的皮革拉伸绷展点定位方法,并基于此方法设计出皮革拉伸绷展点的智能识别算法。首先,利用机器视觉获得皮革源图像,经过对图像的预处理后,通过图像细化算法提取出皮革骨架,利用皮革骨架确定出必选拉伸绷展点。然后,采用画圆相交法,通过提取出的皮革轮廓与圆的交点确定出其余拉伸绷展点。最终,筛选舍弃不合理拉伸点,即可得到皮革的最终拉伸绷展点。利用此算法对大量皮革拉伸绷展点进行识别试验后发现,识别出的拉伸绷展点基本满足实际的工程需求。该皮革拉伸绷展点定位方法和算法的研究,为后续皮革自动绷展智能化装备的设计提供了理论支持,对推进皮革工业的智能化发展具有积极意义。

In order to promote the intelligent development of the leather industry and solve the problem of intelligent selection of stretch points in the drying process of leather stretch boards,this paper proposed a method for positioning the stretch points of leather based on the intersection method of drawing circles.An intelligent identification algorithm for leather stretching points was designed.First,the leather source image was obtained by machine vision.After the image was preprocessed,the leather skeleton was extracted through the image thinning algorithm,and the necessary stretching stretch point was determined by the leather skeleton.Then,using the circle intersection method,the remaining stretch points were determined by the intersection of the extracted leather outline and the circle.Finally,screening and discarding the unreasonable stretch point could get the final stretch point of the leather.After using this algorithm to identify a large number of leather stretch points,it is found that the identified stretch points basically meet the actual engineering needs.The research on the positioning method and algorithm of the leather stretching and stretching point provides theoretical support for the design of subsequent intelligent leather automatic stretching equipment,and has positive significance for promoting the intelligent development of the leather industry.