Laser & Optoelectronics Progress, Volume. 56, Issue 9, 091006(2019)
Enhancement Algorithm of Fractional Differential Medical Images Based on Local Binary Pattern Variance
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.
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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
Category: Image Processing
Received: Nov. 7, 2018
Accepted: Dec. 6, 2018
Published Online: Jul. 5, 2019
The Author Email: Hou Xiangdan (hxd@scse.hebut.edu.cn)