指挥控制与仿真2017，Vol.39Issue(3)：102-105,4.DOI:10.3969/j.issn.1673-3819.2017.03.022
伪装效果评价模型的图像纹理特征提取方法
Texture Feature Extraction Method of Camouflage Effect Evaluation Model
见超超 1胡江华 1崔光振1
作者信息
- 1. 解放军理工大学电磁环境效应与电光工程重点实验室,江苏 南京 210007
- 折叠
摘要
Abstract
To evaluate camouflage effect of the camouflaged military targets, we usually base on the changes of image characteristics before and after for camouflage target.Because of the influence of illumination environment led to the decrease of the image quality, it can produce adverse effect on the image feature and affect the camouflage effect evaluation.A method of Image texture feature extraction which combination of local binary pattern (LBP) and gray level co-occurrence matrix is proposed in this paper.This method first by local binary pattern (LBP) algorithm to extract the image feature which is not affected by light information, then get the five characteristics values of image texture feature by gray level co-occurrence matrix.Through comparative experiments show that this method can effectively reduce the illumination of the adverse impact of environmental factors on the camouflage effect evaluation, camouflage effect evaluation result more accurate and reliable.关键词
图像纹理特征/光照环境影响/局部二进制模式/灰度共生矩阵/纹理相似度/伪装效果评价Key words
image texture features/light environmental impact/local binary pattern/Gray symbiotic matrix/texture similarity/camouflage effect evaluation分类
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见超超,胡江华,崔光振..伪装效果评价模型的图像纹理特征提取方法[J].指挥控制与仿真,2017,39(3):102-105,4.
