基于小波纹理特征的迷彩伪装评价

Camouflage Assessment Based on Wavelet Texture Characteristics

伪装效果分析是伪装设计的重要环节之一,采用计算机智能评价方法代替人的主观评价可以降低评价结果的随机性,提高其客观性和有效性。该文提出对图像多层小波进行分解,用小波特征系数计算纹理相似度的方法来评价军事伪装效果。实验数据表明,使用小波纹理相似度可以量化反映出迷彩伪装的有效度,评价准确性更高。

Camouflage assessment is an essential part in camouflage design. Using computer analysis instead of subjective evaluation can make the assessment more stable and effective. This paper proposes a new method using texture characteristics from multi-wavelet decomposition. Texture similarity is used to assess the camouflage. Experimental data demonstrates the effectiveness of the approach.