激光与光电子学进展, 2019, 56 (9): 091006, 网络出版: 2019-07-05
基于局部二进制模式方差的分数阶微分医学图像增强算法 下载: 1058次
Enhancement Algorithm of Fractional Differential Medical Images Based on Local Binary Pattern Variance
图像处理 图像增强 分数阶微分 掩模算子 局部二进制模式方差 image processing image enhancement fractional differential mask operator local binary pattern variance
摘要
研究了分数阶微分及其掩模算子的特性,提出了一种新的基于局部二进制模式方差(LBPV)的分数阶微分的图像增强算法,运用LBPV理论对图像进行了特征提取,构建了更加有效的分数阶掩模模板。实验结果表明,与现有的分数阶微分图像增强算法相比,所提算法在增强图像的纹理和细节信息上具有良好的效果。
Abstract
The characteristics of fractional differential and its mask operator are investigated, and a new enhancement algorithm of fractional differential images is proposed based on local binary pattern variance (LBPV). The LBPV theory is used for the feature extraction of images. A more effective fractional mask template is constructed. The experimental results show that compared with the existing enhancement algorithms of fractional differential images, the proposed algorithm performs better in the textures and details of enhanced images.
刘洪普, 郑梦敬, 侯向丹, 李柏岑, 杜佳卓. 基于局部二进制模式方差的分数阶微分医学图像增强算法[J]. 激光与光电子学进展, 2019, 56(9): 091006. Hongpu Liu, Mengjing Zheng, Xiangdan Hou, Bocen Li, Jiazhuo Du. Enhancement Algorithm of Fractional Differential Medical Images Based on Local Binary Pattern Variance[J]. Laser & Optoelectronics Progress, 2019, 56(9): 091006.