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| 基于小波变换的工业内窥镜图像融合算法 | |
| 引用本文： | 梁君燕,吴继奎,常俊林,郭文杰.基于小波变换的工业内窥镜图像融合算法[J].工矿自动化,2012,38(4):44-47. |
| 作者姓名： | 梁君燕 吴继奎 常俊林 郭文杰 |
| 作者单位： | 1. 中国矿业大学信电学院,江苏徐州,221008 2. 徐州泰诺仕视觉科技有限公司,江苏徐州,221008 3. 徐工集团工程机械股份有限公司科技分公司,江苏徐州,221004 |
| 基金项目： | 国家自然科学基金资助项目(60974126);中国矿业大学青年科研基金项目(OC090196) |
| 摘 要： | 针对工业内窥镜使用场所特殊而存在采集的图像效果不佳的问题,提出了一种基于多尺度小波变换和不同融合算子的图像融合算法。首先对源图像进行小波变换,然后对代表近似信息的低频系数采用简单的平均算法融合,对代表细节信息的高频系数采用基于区域方差的动态加权平均算法融合,最后对处理的低频和高频系数进行小波逆变换得到融合图像。实验结果表明,与其它几种算法比较,该算法得到的图像参数较好,提高了图像处理效果。 |
| 关 键 词： | 工业内窥镜 图像处理 图像融合 小波变换 区域方差 平均算法 加权平均算法 |
Image Fusion Algorithm for Industrial Endoscope Based on Wavelet Transform |
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| LIANG Jun-yan , WU Ji-kui , CHANG Jun-lin , GUO Wen-jie.Image Fusion Algorithm for Industrial Endoscope Based on Wavelet Transform[J].Industry and Automation,2012,38(4):44-47. | |
| Authors: | LIANG Jun-yan WU Ji-kui CHANG Jun-lin GUO Wen-jie |
| Affiliation: | 1.School of Information and Electrical Engineering of CUMT.,Xuzhou 221008,China. 2.Xuzhou Tenosi Visual Technology Co.,Ltd.,Xuzhou 221008,China. 3.Science and Technology Branch of XCMG Construction Machinery Co.,Ltd.,Xuzhou 221004,China) |
| Abstract: | In view of problem of bad effect of image collected by industrial endoscope because of special application place,the paper proposed an image fusion algorithm based on multi-scale wavelet transform and different fusion operators.Firstly,it made wavelet transform for source image,then used simple average algorithm to fuse low frequency coefficients which represents approximate information and used dynamic weighting average algorithm based on local deviation to fuse high frequency coefficients which represent detail information.Finally,it made inverse wavelet transform of processed low and high frequency coefficients to get fused image.The experiment result showed that the algorithm improves image processing effect with better image parameters comparing with other algorithms. |
| Keywords: | industrial endoscope image process image fusion wavelet transform local deviation average algorithm weighting average algorithm |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |