武术运动动作三维图像非显著性区域自适应增强系统设计Design of non-salient region adaptive augmentation system for Wushu motion 3D images
李志田
摘要(Abstract)：
针对传统增强系统一直存在效率低、效果不佳的问题,提出基于中心环绕法优化Retinex增强模型的武术运动动作三维图像非显著性区域自适应增强系统设计。在图像空间域上,通过均值滤波法对武术运动动作三维图像进行去噪处理,采用梯度算子求出能够反映武术运动动作三维图像的梯度向量,并在图像的空间域上采用微分算子对武术运动动作三维图像进行锐化处理。以此为基础,采用SSR算法进行求解、加权,获取武术运动动作三维图像中准确的非显著性区域,引入中心环绕法对武术运动动作三维图像进行估计,引入Retinex增强模型对武术运动动作三维图像非显著性区域进行自适应增强处理。实验结果表明,采用该设计系统的增强效率、增强效果均要优于传统增强系统,具有一定优势。
关键词(KeyWords)： 武术运动动作;三维图像;非显著性区域;自适应;增强系统;均值滤波
基金项目(Foundation):
作者(Author): 李志田
DOI: 10.16652/j.issn.1004-373x.2018.13.013
参考文献(References)：
- [1]任永峰,董学育.基于自适应流形相似性的图像显著性区域提取算法[J].山东大学学报(工学版),2017,47(3):56-62.REN Yongfeng,DONG Xueyu.An image saliency object detection algorithm based on adaptive manifold similarity[J].Journal of Shandong University(engineering science),2017,47(3):56-62.
- [2]谢惠杰,唐涛,项德良,等.尺度自适应的SAR图像显著性检测方法[J].计算机工程与应用,2015,51(20):145-152.XIE Huijie,TANG Tao,XIANG Deliang,et al.Scale selfadaptive saliency detection of SAR image[J].Computer engineering and applications,2015,51(20):145-152.
- [3]王蓉芳,陈佳伟,焦李成,等.基于视觉显著性的分块自适应压缩感知算法[J].华中科技大学学报(自然科学版),2015,43(1):127-132.WANG Rongfang,CHEN Jiawei,JIAO Licheng,et al.Blocked adaptive compressed sensing based on visual saliency[J].Journal of Huazhong University of Science and Technology(nature science edition),2015,43(1):127-132.
- [4]柯洪昌,邵文奇,梁丞汉.一种基于显著性区域的运动目标跟踪方法[J].科技创新与应用,2017,34(9):90.KE Hongchang,SHAO Wenqi,LIANG Chenghan.A moving area tracking method based on significant region[J].Technology innovation and application,2017,34(9):90.
- [5]王浩宇.融合运动特征的视频图像显著性检测方法[J].科技经济导刊,2016,28(11):22-25.WANG Haoyu.Video image saliency detection method integrating motion features[J].Technology and economic guide,2016,28(11):22-25.
- [6]窦智,韩玉兵,盛卫星,等.双通道局部处理的自适应图像增强方法[J].计算机辅助设计与图形学学报,2015,27(10):1823-1831.DOU Zhi,HAN Yubing,SHENG Weixing,et al.Two-channel local processing adaptive image enhancement method[J].Journal of computer-aided design and graphics,2015,27(10):1823-1831.
- [7]王敏,黄峰,叶松,等.人工鱼群与粒子群混合图像自适应增强算法[J].计算机测量与控制,2012,20(10):2805-2807.WANG Min,HUANG Feng,YE Song,et al.Image adaptive enhancement based on artificial fish-swarm and particle swarm optimization[J].Computer measurement&control,2012,20(10):2805-2807.
- [8]岳梅,郭宝平,张平,等.基于混合蛙跳优化的条纹管图像自适应增强[J].光电工程,2011,38(5):108-113.YUE Mei,GUO Baoping,ZHANG Ping,et al.Adaptive image enhancement of streak tube imaging based on shuffled frog-leaping optimization[J].Opto:electronic engineering,2011,38(5):108-113.
- [9]遆晓光,曲悠杨.一种改进的色彩保持低照度图像增强方法[J].哈尔滨工业大学学报,2014,46(3):1-7.TI Xiaoguang,QU Youyang.An improved low illumination image enhancement algorithm with color preserving[J].Journal of Harbin Institute of Technology,2014,46(3):1-7.
- [10]李雅梅,任婷婷,LIYa-mei,等.自适应分数阶微分小波图像增强方法的研究[J].微电子学与计算机,2015,32(6):130-133.LI Yamei,REN Tingting.Research on adaptive fractional differential wavelet image enhancement method[J].Microelectronics&computer,2015,32(6):130-133.