摘要
为了对服装加工质量进行自动检测,提出了一种对针织面料缝纫加工的疵点进行自动检验的方法。该方法首先基于遗传算法进行结构元素的寻优,然后通过图像的数学形态学滤波处理来消除面料组织的正常纹理对图像分割的干扰;最后利用灰度阈值实现图像分割来得到表现缝线和加工疵点特征的二值图像。实验结果表明,该方法是有效的。
In order to automatically detect garment manufacture defects, this paper researches on knitted fabric stitching manufacture inspection. A method based on Genetic Algorithms （GA） to search the optimal structuring element is presented. Morphological filtering technology processing with the optimal structuring element is used to prevent the normal fabric structure from disturbing image segmentation. A binary image representing the property of seams or manufacture defects is obtained using gray thresholding segmentation. According to the experimental results, the method is effective.
出处
《中国图象图形学报》
CSCD
北大核心
2008年第10期1902-1905,共4页
Journal of Image and Graphics
关键词
缝纫加工检测
遗传算法
形态学滤波
图像分割
stitching manufacture inspection, GA, morphological filtering, image segmentation
