CAJ | 학술논문

针对舰船模型其横摆度与纵摆度量的检测问题,研究了一种基于序列图像的复杂背景下字符识别方法用以检测舰船模型的摆度量.首先利用背景图像相邻区域灰度值变化缓慢的特性,采用高斯低通滤波算法对图像背景进行实时更新;其次提出了一种基于差分图像统计信息的自适应阈值分割算法,用以消除光线和环境的变化对背景的影响;最后研究了基于改进扫描线算法与模板匹配算法的字符识别算法.实验结果表明,研究的算法可以在不同光照情况下完整、快速地识别出舰船模型上印刷的字符,完全可以用于摆度量的检测,具有较大的实用价值.
침대함선모형기횡파도여종파도량적검측문제,연구료일충기우서렬도상적복잡배경하자부식별방법용이검측함선모형적파도량.수선이용배경도상상린구역회도치변화완만적특성,채용고사저통려파산법대도상배경진행실시경신;기차제출료일충기우차분도상통계신식적자괄응역치분할산법,용이소제광선화배경적변화대배경적영향;최후연구료기우개진소묘선산법여모판필배산법적자부식별산법.실험결과표명,연구적산법가이재불동광조정황하완정、쾌속지식별출함선모형상인쇄적자부,완전가이용우파도량적검측,구유교대적실용개치.
According to inspection problems of horizontal and vertical pendulum amplitude of ship models, a method of character recognition used to inspect pendulum amplitude of ship models based on sequence images in complex background is discussed. Firstly, Gaussian low-pass filtering algorithm is adopted to update image background in real time based on gray value with the characteristic of slow change, which is at the adjacent re?gions of background images. Secondly, an adaptive threshold segmentation algorithm based on statistical informa?tion of difference image is put forward to eliminate the influence of the change of light and environment on back?ground. Finally, character recognition algorithm based on the improved scan line algorithm and template match?ing algorithm is researched. The experiment results show that the algorithm can identify the characters printed on ship model quickly and completely in the different illumination circumstances. And it can be used to inspect pen?dulum amplitude. So it has great practical value.