摘要
为克服当前偏振图像融合方法存在的不足,提出了一种基于颜色迁移和聚类分割的偏振图像近自然彩色融合方法.该方法首先将偏振参量图像映射到HSI颜色空间,再得到初步的融合图像后将它变换到YIQ颜色空间,并采用颜色迁移技术对其进行颜色修正.通过将修正后的图像变换到HSI颜色空间,并利用对线偏振度图像进行模糊C-均值聚类分割的结果调整融合图像的色调和色饱和度.最后,将处理结果变换回RGB颜色空间,得到最终的图像融合结果.实验结果表明,利用该方法得到的融合图像不仅与人眼视觉感知习惯一致,而且显著增强了目标与背景的对比度.
To overcome shortcomings of current polarization image fusion methods,a novel false-color imagery fusion approach based on color transfer and clustering-based segmentation was proposed.Firstly,the images by polarization information analysis were mapped into HSI color space,thus the initial false-color fused image was obtained.Then,the fused image was transformed into YIQ color space,and the chromatic characteristics each channel was modified using those of the reference image.After that,the modified image was transformed into HSI color space,and the segmentation result of the image of degree of linear polarization using fuzzy C-means clustering algorithm was used to adjust its hue component and saturation component.Finally,the resultant image was transformed back into RGB color space,so the final fused image was obtained.Experimental results show that,the proposed method has the merit that the fused result is consistent with the habit of human vision perception,and makes the contrast of artificial targets within the cluttered background more outstanding.
出处
《光子学报》
EI
CAS
CSCD
北大核心
2011年第1期149-153,共5页
Acta Photonica Sinica
关键词
光学偏振
图像融合
颜色迁移
聚类分割
Optical polarization
Image fusion
Color transfer
Clustering-based segmentation
