CAJ | 학술논문

在基于机器视觉的炮膛疵病检测中,针对计算机不能以"目标分割-特征提取-特征分析-判定"的经典思路实现疵病图像识别的难题,采用二次谱分析方法从图像全局性特点中挖掘疵病的信息.定义图像二次谱为"图像功率谱的对数幅值谱",提取其亮线长宽比以及谱图能量均值、能量方差和能量矩4个参量采分析炮膛图像中是否存在疵病.通过实验验证了参量的有效性.
재기우궤기시각적포당자병검측중,침대계산궤불능이"목표분할-특정제취-특정분석-판정"적경전사로실현자병도상식별적난제,채용이차보분석방법종도상전국성특점중알굴자병적신식.정의도상이차보위"도상공솔보적대수폭치보",제취기량선장관비이급보도능량균치、능량방차화능량구4개삼량채분석포당도상중시부존재자병.통과실험험증료삼량적유효성.
In gun bore flaw detection based on machine vision,computer can not recognize flaw image with typical idea, such as target segmentation,feature extraction,feature analysis and judgment.Aiming at this problem,twice-spectrum analysis method was adopted to extract flaw information from overall features of image.Image twice-spectrum was defined as logarithmic amplitude spectrunl of power spectrum.And four parameters,which were Length-to-Width Ratio of Bright Straight Line,Energy Mean,Energy Variance and Energy Moment,were extracted to analyze gun bore images. The experimental results testify rationality of the parameters.