基于度量准则的平面图形子区域元素提取仿真

Simulation of Extracting Elements from Subregions of Planar Graphics Based on Metric Criteria

平面图形元素提取过程中,若不能及时增强元素轮廓会影响后续的元素提取质量,为此提出基于皮尔斯符号学的平面图形元素提取方法。针对原始平面图形中的噪声实施去噪处理,并对去噪后的图形实施照度增强,有效提升元素轮廓视觉强度;再将皮尔斯符号学作为图形元素提取依据,确定图形元素分割所需像素种子区域,构建用于分割提取的生长度量准则;最后通过图形分割流程完成图形元素的精准分割提取。实验结果表明,利用上述方法开展图形元素提取时,未出现漏提取以及轮廓粘连情况,提取效果较好。

In the process of extracting planar graphic elements,if the contour of the elements cannot be enhanced in a timely manner,it will affecte the quality of subsequent element extraction.Therefore,a method for extracting elements in planar graphic based on Peirce semiotics was proposed.Firstly,the noise in the original planar graphics was removed,and then illumination enhancement was implemented for the denoised graphics,thus effectively improving the visual intensity of element contours.Moreover,Peirce semiotics was used as the basis for extracting graphic elements,thus determining the pixel seed regions required for segmentation of graphic elements.Meanwhile,growth metrics for segmentation and extraction was constructed.Finally,the accurate segmentation and extraction of graphic elements were completed according to the graphic segmentation process.The experimental result shows that there are no missing extraction and contour adhesion when using this method to extract graphic elements,and the extraction effect is good.