Textile pattern recognition and recoloring separates a fabric image into different color regions and changes colors of the regions in the fabric image. A new method for textile pattern recognition and recoloring is proposed. The proposed method consists of two main steps. First, the binary images are recognized through a series of image enhancement techniques, such as the color-encoding algorithm, the edge-based filtering algorithm, and a multiphase image segmentation model. Second, the regions of interest are recolored with different recoloring methods based on intrinsic image decomposition and grayscale image recoloring. Experimental results and comparisons demonstrate that the main disadvantages and difficulties of using palette-based methods in textile pattern recoloring have been overcome by the proposed method. The proposed method is effective in inhibiting tiny region effects and preserving the geometry structures of textile patterns. It can be applied to recognize and recolor different kinds of fabric images, including the Jacquard, the embroidered, and the printed fabric images.

中文翻译：

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一种纺织品图案识别和复色的新方法

纺织品图案识别和重新着色将织物图像分成不同的颜色区域，并改变织物图像中区域的颜色。提出了一种纺织品图案识别和重新着色的新方法。所提出的方法包括两个主要步骤。首先，通过颜色编码算法、基于边缘的滤波算法和多相图像分割模型等一系列图像增强技术对二值图像进行识别。其次，基于固有图像分解和灰度图像重新着色，采用不同的重新着色方法对感兴趣区域进行重新着色。实验结果和比较表明，所提出的方法已经克服了在纺织品图案重新着色中使用基于调色板的方法的主要缺点和困难。所提出的方法在抑制微小区域效应和保留纺织品图案的几何结构方面是有效的。它可用于识别和重新着色不同类型的织物图像，包括提花、绣花和印花织物图像。