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基于显著算法与CIELAB空间的织物色差评价方法

Evaluation Method of Fabric Color Difference Based on Saliency Algorithm and CIELAB Space

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摘要

以改进的色差显著算法原理为基础,以高亮显著连通的区域面积和圆度表征织物图像纹理间隙区域,通过统计标准织物图像纹理间隙的分布规律,设定初步色差分级指标,不仅实现了待测织物大聚集色差区域的快速检测,而且能有效判别无大聚集色差织物的纹理间隙区域的背景噪声。结合色差评级标准,对纹理间隙区域外的织物图像采用加权平均方法进行了色差定级。结果表明,所提算法的误差均值和方差最小,更能反映织物的真实色差。

Abstract

With the theory of the modified color difference saliency algorithm as a base, the fabric image texture clearance regions are characterized by the area and roundness of the highlighted and significantly connected regions. By the statistical extraction of the distribution laws of the standard fabric image texture clearance and by the setup of the color difference rating standard, not only the big serious color difference region is quickly detected, but also the background color noise of the fabric texture clearance region of the fabrics without the big serious color difference is distinguished. Based on the color difference rating standard, the weighted average method is used to complete the tested fabric color difference grating for the fabric images beyond the fabric texture clearance region. The results show that the proposed algorithm has the minimum error mean and variance, which can reflect the true color difference of fabrics.

Newport宣传-MKS新实验室计划
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中图分类号:TS107

DOI:10.3788/lop55.053301

所属栏目:视觉,颜色与视觉光学

基金项目:国家自然科学基金(51375351)

收稿日期:2017-11-10

修改稿日期:2017-11-15

网络出版日期:--

作者单位    点击查看

孟秀萍:武汉纺织大学机械工程与自动化学院, 湖北 武汉 430073
苏工兵:武汉纺织大学机械工程与自动化学院, 湖北 武汉 430073
吴奇明:武汉纺织大学机械工程与自动化学院, 湖北 武汉 430073
袁浪佳:武汉纺织大学机械工程与自动化学院, 湖北 武汉 430073

联系人作者:苏工兵(sgb6710@163.com)

备注:孟秀萍(1991—),女,硕士研究生,主要从事计算机视觉、图像处理方面的研究。E-mail: 2437339908@qq.com

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引用该论文

Meng Xiuping,Su Gongbing,Wu Qiming,Yuan Langjia. Evaluation Method of Fabric Color Difference Based on Saliency Algorithm and CIELAB Space[J]. Laser & Optoelectronics Progress, 2018, 55(5): 053301

孟秀萍,苏工兵,吴奇明,袁浪佳. 基于显著算法与CIELAB空间的织物色差评价方法[J]. 激光与光电子学进展, 2018, 55(5): 053301

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