| 程升勋,王建林,随恩光,郭永奇,李 季.空间约束聚类分析的零部件图像镜面高光去除方法[J].电子测量与仪器学报,2022,36(6):100-106 |
| 空间约束聚类分析的零部件图像镜面高光去除方法 |
| Spatial constrained clustering analysis based specularhighlight removal for component image |
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| DOI： |
| 中文关键词: 镜面高光去除 二色反射模型 空间约束聚类 零部件图像 |
| 英文关键词:specular highlight removal dichromatic reflection model spatially constrained clustering component image |
| 基金项目:国家重点研发计划（2017YFF0107303）项目资助 |
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| 摘要点击次数: 607 |
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| 中文摘要: |
| 为了解决镜面高光造成的零部件图像质量下降问题,提出了一种空间约束聚类分析的零部件图像镜面高光去除方法。
首先,将零部件图像投影到最小-最大色度空间,通过固定的聚类中心对聚类过程进行空间约束在保证簇中色度相近的同时实
现彩色像素和消色像素的分离;然后,采用强度比调整和亮度直方图统计分别对彩色像素和消色像素中的镜面反射分量进行估
计;最后,结合二色反射模型,实现零部件图像的镜面高光去除。 实验结果表明,经所提方法去高光后的实际拍摄图像的平均熵
值和结构相似度分别达到了 5. 750、0. 998 8,有效地去除了零部件图像中的镜面高光,提高了图像质量。 |
| 英文摘要: |
| To solve the problem of image quality degradation caused by specular highlights, a specular highlight removal method based on
spatial constrained clustering analysis is proposed in this paper. Firstly, after projecting the component image into the minimummaximum chromaticity space, the fixed clustering center is introduced to realize the separation of chromatic pixels and achromatic pixels
while ensuring the similar chromaticity in a cluster. Then, the intensity ratio adjustment and brightness histogram statistics are used to
determine the specular reflection components in the clustering of chromatic pixels and achromatic pixels respectively. Finally, combined
with dichromatic reflection model, specular highlight removal is realized. Experimental results show that the entropy value and structure
similarity of the image are 5. 750 and 0. 998 8 after highlight removal by proposed method. The proposed method can effectively remove
specular highlights in chromatic and achromatic regions and obtain high quality images. |
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