CAJ | 학술논문

提出了一种基于 Matlab的彩色图像偏振度计算方法，避免了传统灰度转换法中由于偏振片具有适用波长范围带来的偏振度损失。通过实验，分别研究了彩色偏振度图像在有遮挡物及相似背景下的目标物识别应用。结果表明，采用彩色偏振度图像方法，可有效提高目标物体的可视化清晰度，分辨出强度图像中无法显示的细节特征，为后续的图像处理工作奠定良好的基础。
제출료일충기우 Matlab적채색도상편진도계산방법，피면료전통회도전환법중유우편진편구유괄용파장범위대래적편진도손실。통과실험，분별연구료채색편진도도상재유차당물급상사배경하적목표물식별응용。결과표명，채용채색편진도도상방법，가유효제고목표물체적가시화청석도，분변출강도도상중무법현시적세절특정，위후속적도상처리공작전정량호적기출。
A method based on Matlab to calculate polarization degree of color image is proposed.Loss of polarization degree in traditional calculation due to wavelength mismatch can be avoided in this new method. The method is applied in target recognition under similar background.It is found that compared with intensity image visual definition can be improved and minutiae feature can be recognized using polarization degree image, this lays a good foundation for subsequent image processing.