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机构地区:[1]上海工程技术大学服装学院,上海201620 [2]中国科学院声学研究所东海研究站,上海200032
出 处:《东华大学学报(自然科学版)》2014年第5期560-566,共7页Journal of Donghua University(Natural Science)
基 金:国家自然科学基金资助项目(61271419);上海市科学技术委员会科研计划资助项目(11510501600)
摘 要:针对织物起球等级客观评估中复杂织物纹理干扰起球图像分割的问题,提出一种新的起球图像采集及预处理方法.首先采集同一织物的多角度光照投影图像,该图像混合有不变场景的复杂底纹和光照投影变化的起球信息;然后应用独立成分分析方法,对多角度光照起球图像进行独立成分分解;再利用频谱特征分析方法分离出属于织物底纹的独立分量,以重构出滤除织物复杂底纹的起球图像.试验结果表明,该方法能有效地滤除各种起球织物图像中的复杂底纹,为复杂纹理织物的起球等级客观评估提供可能.According to the influence of complex texture to the pilling segmentation during the objective evaluation of fabric pilling, a new method of pilling image acquisition and preprocessing was proposed. Firstly, multi-direction lights were projected on the pilled fabric surface and the corresponding fabric pilling images were captured, which mixed with invariant fabric background texture and variant pilling profile information modulated by the light projection. The captured fabric pilling images were analyzed by independent component analysis method, and by using the spectrum feature analysis method, the independent components referring to the information of complex background texture were separated, and then the separated pilling images were reconstructed. The experimental results show that this method can effectively separate the pilling image from complex fabric texture, which provides one possibility for complex texture fabric pilling objective evaluation.
分 类 号:TN941.1[电子电信—信号与信息处理] TS181.8[电子电信—信息与通信工程]
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