印染助剂2018，Vol.35Issue(5)：23-26,4.
基于多尺度的纺织印染图像分色算法研究
Research on color separation algorithm of textile printing and dyeing image based on multi-scale
摘要
Abstract
The effect of multi-scale textile printing and dyeing image color separation algorithm based on context information was mainly studied. The color separation results and the extraction effect of edge contour of the multi-scale image segmentation algorithm and the Mean-shift color separation algorithm were com-pared. It was found that the effectiveness of multi-scale color separation algorithm was better than that of Mean-shift color separation algorithm. The multi-scale color separation algorithm used multi-scale context model to modify the color segmentation result continuously. The color values of the pattern region were calcu-lated by observing the main hue of the pattern set by human eye, and the chromaticity value of the pattern re-gion was calculated through the transformation of RGB space and HSL space, then the post processing of the texture noise and the edge isolated region was carried out. Compared with the Mean-shift color separation al-gorithm, the main hue calculated by the multi-scale image color segmentation algorithm was more consistent with the original printing pattern and avoided the interference of the texture noise.关键词
多尺度上下文模型/图像分色/Mean-shift分色算法Key words
multi-scale context model/image color separation/Mean-shift color separation algorithm分类
轻工纺织引用本文复制引用
刘静超..基于多尺度的纺织印染图像分色算法研究[J].印染助剂,2018,35(5):23-26,4.基金项目
西京学院校科研基金(XJ150114) （XJ150114）
