基于分量组合及其位压缩的纺织图案提取方法

Obtaining textile images using color components operation and bit-mask technique

颜色压缩技术在彩色图像分割和表达等许多应用中是一项关键技术。提出了一种新的基于颜色分量运算及其位屏蔽压缩的图像处理技术,并将该技术应用到了纹理状织物图案的提取研究中。颜色分量运算的系数与线性组合方式由实验确定,研究表明,颜色分量运算可以增强织物图案的显示特性,而颜色位的屏蔽运算可以在保证处理实时性的同时减弱图像中的噪声污染成分,减小原图像上因噪声干扰引起的纹理分割误差。

Color reduction technique is crucial for many applications, such as segmentation and presentation of color images. Based on color components operation and bit-mask reduction of grey value,the paper presented a novel image processing technique which was applied to obtaining textile image. The coefficient of color components operation and the mode of linear combination were determined by experiments. This research has shown that color components operation can enhance the visualability of patterns of the fabric, and bit-mask operation can reduce noises in its grey image and ensures real-time processing.