CAJ | 학술논문

光照不均会降低带钢图像的质量，在研究带钢缺陷特点的基础上，提出一种新的带钢缺陷检测方法。首先，对图像取对数处理并进行小波分解，其次分别对小波分解的子图进行同态滤波，然后对滤波后的子图进行中央周边差操作形成差分子图，在此基础上，对差分子图进行融合处理并取指数处理得到高对比度的缺陷图像，最后采用Otsu分割方法对缺陷图像分割。实验结果表明，该方法能增强缺陷图像对比度，图像细节部分清晰，同时可抑制噪声的影响，能够有效地实现缺陷图像的分割。
광조불균회강저대강도상적질량，재연구대강결함특점적기출상，제출일충신적대강결함검측방법。수선，대도상취대수처리병진행소파분해，기차분별대소파분해적자도진행동태려파，연후대려파후적자도진행중앙주변차조작형성차분자도，재차기출상，대차분자도진행융합처리병취지수처리득도고대비도적결함도상，최후채용Otsu분할방법대결함도상분할。실험결과표명，해방법능증강결함도상대비도，도상세절부분청석，동시가억제조성적영향，능구유효지실현결함도상적분할。
The influence of illumination reduces the quality of strip image , a new kind of steel strip detection method is put for-ward through analysis of strip defect characteristics .First of all, the logarithm of strip image gray value is decomposed into a se-ries of sub-graph through the wavelet transform .Secondly , every sub-graph of wavelet decomposition is treated by homomorphism , and then the center-surround difference operation is used to construct difference sub-map.On this basis, difference sub-maps are selected for image fusion and exponential operation is used to get the high contrast defect image .Finally, steel strip defect is de-tected through the segmentation method of maximum between-cluster variance .The result of experiments shows that this method can enhance the defect image contrast with clear image details , inhibit the effect of noise , and effectively realize the rapid detec-tion of strip defect image .