摘要
针对1类存在模糊差异的置换混叠图像,提出了1种基于差分进化的置换混叠图像盲分离算法。选择空域作为特征域,将置换混叠图像的梯度图像分成小块,并为每个小块设定个阈值,组成1个阈值向量。利用差分进化算法获得最优的阈值向量,将置换混叠图像阈值化为二值图像,利用图像形态学实现二值图像分离出置换图像。实验结果表明,与阈值法相比较,本算法能较好地把置换图像从置换混叠图像中分离出来,而不受置换图像位置、大小和个数的限制。
In this paper,a blind separation algorithm based on differential evolution was proposed for a type of permuted alias image with blur difference. Space domain was selected as characteristic domain.The gradient image of permuted alias image was divided into sub-blocks which was randomly assigned a threshold and all the thresholds formed a threshold vector. The differential evolution was then performed to obtain the optimal threshold vector for thresholding the differential image into binary one. The permuting image could be separated by permuted alias image multiplid by the binary image optimized with image morphology operating. Experimental results showed that,compared with thresholding approach, the proposed approach could effectively separate the permuting image from the permuted alias image without respect to the location, size and nemuber of permuting image.
出处
《系统仿真技术》
2011年第3期196-202,共7页
System Simulation Technology
基金
国家自然科学基金资助项目(60872114)
上海市科委重点实验室资助项目(08DZ2231100)
上海市重点学科基金资助项目(S30108)
上海市教委科研创新重点资助项目(09ZZ89)
关键词
置换混叠图像
盲分离
差分进化
模糊差异
permuted alias image
blind separation
differential evolution（DE）
blur difference
