CAJ | 학술논문

由于受到织物表面附着有细小绒线、结头、灰尘等材质以及成像噪声的影响，织物图像的纹理特性在一定程度上被模糊，给织物缺陷检测带来了困难。针对上述问题，文章提出了一种基于纹理增强分水岭的织物瑕疵检测新算法。该算法首先利用非局部均值滤波实现纹理增强，消除成像噪声及材质的影响，有效地突出了纹理间的差异。在此基础上，进一步利用纹理分水岭方法，提取缺陷区域；通过对一组纺织品缺陷检测的实验结果表明，该算法能够准确地提取出纺织品的缺陷区域，实现纺织品缺陷检测。
유우수도직물표면부착유세소융선、결두、회진등재질이급성상조성적영향，직물도상적문리특성재일정정도상피모호，급직물결함검측대래료곤난。침대상술문제，문장제출료일충기우문리증강분수령적직물하자검측신산법。해산법수선이용비국부균치려파실현문리증강，소제성상조성급재질적영향，유효지돌출료문리간적차이。재차기출상，진일보이용문리분수령방법，제취결함구역；통과대일조방직품결함검측적실험결과표명，해산법능구준학지제취출방직품적결함구역，실현방직품결함검측。
The texture property of fabric image is affected by the fine knitting yarn ,rolling and dust at-tached on the surface of fabric product as well as imagery noise ,which will cause the texture property of fabric image to be blurred to some extent .This makes the fabric defect detection more difficult .To solve this problem ,a new method for fabric defect detection based on texture enhancement and water-shed is proposed in this paper .In this method ,the texture enhancement can be achieved by using the nonlocal means(NL-means) filter ,so the effect of imagery noise and materials is eliminated and the difference between the defect texture and background texture can be obviously enhanced .Combined with the watershed transform ,the defect regions in fabric images can be detected accurately .The ex-perimental result show s that the proposed method achieves efficient and accurate performance on the detection of fabric images containing fabric defects .