主要成就
(1)Wang Gaihua, LvMeng. convolutional neural network based on spatial pyramid for image classification. Journal of Beijing Institute of Technology,2019.(EI)(2)Gaihua Wang, Yang Liu, Wei Xiong, Yan Li, An Improved Non-local Means Filter for Color Image Denoising,Optik, 2018.8(SCI)(3)Gaihua Wang , Guoliang Yuan, Tao Li, Meng Lv, An Multi-scale Learning Network with Depthwise Separable Convolutions. IPSJ Transactions on Computer Vision and Applications, 2018,8(10):1-8(EI)(4)Gaihua Wang,Guoliang Yuan, Application of Interpolation Pooling in Convolutional Neural Networks, Helix, 2018, 7, (ESCI检索)(5)王改华,李涛. 采用无监督学习算法与卷积的图像分类模型,华侨大学学报,2017,12(6) Gaihua Wang ,Yihua Lan,Yunyan Wang, Wei Xiong,Jie Li, Modified Non-local Means Filter for Color Image Denoising, Revista técnica Ingeniería Universidad Zulia,2016,8(39):123 - 131(EI)(7) Gaihua Wang ,Hu Zhu,Yunyan Wang, Fuzzy Decision Filter for Color Images Denoising, Optik - International Journal for Light and Electron Optics, 2015, 20(126): 2428-2432(SCI)(8)Gaihua Wang, Yang Liu, Caiquan Xiong, An Optimization Clustering Algorithm Based on Texture Feature Fusion for Color Image Segmentation, Algorithms, 2015, 2(8): 234-247(EI源刊)(9)Gaihua Wang, Yang Liu, Tongzhou Zhao, A quaternion-based switching filter for colour image denoising, Signal Processing, 2014, 102(9):216-225(SCI) (10)Gaihua Wang, Dehua Li, A fast and effective fuzzy clustering algorithm for color image segmentation, Journal of Beijing Institute of Technology, 2013, 4(21):518-525 (EI源刊)(11)王改华, 李德华, 融合纹理特征的两阶段聚类分割算法, 中国图形图像学报,2012, 9(17):27-36(12)Gaihua Wang, Dehua Li, Weimin Pan, Zhaoxiang Zang, Modified switching median filter for impulse noise removal, Signal Processing, 2010, 90: 3213–3218 (SCI)(13)Yunyan Wang, Gaihua Wang(第一通信作者), Yihua Lan, PolSAR image classification based on deep convolutional neural network, Metallurgical & Mining Industry,8(7):366-371,2015(EI源刊)(14)Gaihua Wang, Dehua Li, Tongzhou Zhao, Adaptive iteration filter for suppression of impulse noise in color images, 2012 International Conference on Mechatronic Systems and Automation Systems, 2012, 203:116-121(EI检索)