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基于数字图像处理的伪装迷彩评价与设计

Camouflage Evaluation and Design Based on Digital Image Processing
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摘要 为了解决迷彩伪装效果评价及迷彩图案设计问题,通过建立基于多指标灰色聚类算法的伪装效果评价模型,对迷彩的伪装原理进行探究。然后利用图像分割技术、小波纹理分析等多种数字图像处理方法,综合使用Matlab、Photoshop等软件,设计一款适用于多种背景环境下的新型迷彩样式。最后运用所建立评价模型进行伪装效果的检测。 In order to solve camouflage evaluation and camouflage pattern design issues, camouflage principles are studied through establishing a new-comprehensive model which uses many camouflage evaluation indexes based on gray clustering theory. Then a new camouflage pattern is designed through a variety of digital image processing methods such as wavelet texture analysis, image segmentation by Matlab and Photoshop. Finally, camouflage effect using the established evaluation model is tested.
出处 《文山学院学报》 2015年第6期74-78,共5页 Journal of Wenshan University
基金 国家自然科学基金项目"离散小波滤波器组的优化设计与无乘子实现"(61102118)
关键词 迷彩伪装 灰色聚类 图像分割 小波分析 MATLAB camouflage grey clustering image segmentation wavelet analysis Matlab
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