摘要
基于模糊集理论的图像增强算法会丢掉部分的边缘细节,针对这一不足,该文改进了算法,最大程度上保留了低灰度值部分。首先构建一个新的隶属函数,实现了图像空域到模糊域之间的转换;在模糊域中采用非线性变换和递归调用对图像进行了增强,最后再通过逆模糊化转换到空域,得到新的灰度值。仿真结果表明,改进的图像增强算法克服了丢失部分细节的不足,提高了图像质量。
The image enhancement algorithm based on fuzzy set theory will lose part of the edge details. The algorithm is improved in this paper, and the low grey value is retained in this paper. First, a new membership function is build, and the transformation is realized between airspace to fuzzy domain; second, the image is enhanced by nonlinear transformation and recursive; finally, the new grey value is obtained by inverse transformation. The simulation results show that the improved image enhancement algorithm retains the details, and the quality of the image is improved.
出处
《电脑知识与技术》
2014年第2X期1282-1284,共3页
Computer Knowledge and Technology
基金
国家自然科学基金资助项目(60802018)
广西壮族自治区教育厅项目(2012JGA240)
关键词
模糊集
图像增强
模糊算法
fuzzy theory
image enhancement
fuzzy algorithm
