随机纹理图像的色差检测  

Color-difference detection of image with random texture

作　　者：高春甫[1] 贺新升[1] 唐可洪[2] 程丽丽[2] 

机构地区：[1]浙江师范大学机械设备与测控技术研究所,浙江金华321004 [2]吉林大学机械学院,吉林长春130025

出　　处：《光学精密工程》2009年第8期1999-2003,共5页Optics and Precision Engineering

基　　金：国家自然科学基金资助项目(No.59705005);浙江省教育厅科研计划资助项目(No.20060469)

摘　　要：针对随机纹理图像在实际生产环境下的色差检测问题,提出了基于CIELAB均匀颜色空间的色差检测算法。首先在HSV颜色空间中计算聚类数目,在CIELAB颜色空间中确定初始聚类中心,然后进行模糊C均值聚类,最后进行颜色特征的提取。以雨花石墙地砖为例,分别在光照、粉尘、振动3种典型干扰环境下进行了实验。实验结果表明,本文提出的色差检测算法检测结果受粉尘、振动干扰影响较小,色差值<1.5,认为无色差,而受光照干扰影响较大,色差值>1.5,认为有色差。这一结果与人眼的视觉判断相一致。建议在实际应用中应对光照条件、光源稳定性进行合理的控制。本算法对其它随机纹理产品的颜色检测也有实用价值。A the problem color-difference detection algorithm based on the CIELAB color space is proposed to solve of detecting the color-difference of an image with random texture in the actual production environment. Firstly, e number of clusters are calculated in the HSV color space and the initial cluster center is determined in the CIELAB color space. Then, the color-difference is detected with a fuzzy C-Means clustering. Taking the pebble tiles for examples, some experiments in inteference of light, dust and vibration are done in this paper. The experimental results show that the proposed col or-difference detection algorithm has anti-interference capability and obtained result is consistent with that of the human eye. When it is affected by the dust and vibration interference, the color-difference value is less than 1.5. While it is affected by the light interference, the color-difference value is greater than 1.5. It suggests that the stability of light power should be controlled reasonably in the practical application. These results also prove that the algorithm can be used to detect the surface color of other random texture.

关 键 词：彩色图像 特征提取 颜色空间 色差检测 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]