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医用Χ光机图像拼接技术研究
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2011-01-04
贾永世
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为了使医生能清楚地观察到人体各部位的完整图像，提高诊断的精确度，需要对X光机所获得的局部人体图像进行拼接处理。在简要介绍2幅相邻图像拼接的基本原理的基础上，着重研究基于灰度相关配准中的比值匹配法。利用2列像素及其所包含的区域信息，通过获取模板及计算最小差值寻找最佳匹配值，并在匹配完成的基础上采用淡入淡出方法对图像进行平滑拼接，以增强拼接效果。软件仿真结果表明，此种方法具有很好的实用性，配准成功率很高，同时能兼顾配准速度，拼接后的图像中间无明显的拼接缝隙，效果显著。
- Abstract:
- In order to help physicians clearly observe the whole picture of every parts of the body,improving the diagnostic accuracy,it is necessary to do image mosaic processing for local human image obtained by X-ray machine.On the basis of brief introducing the principles of two adjacent image mosaic,it focuses on the ratio matching method which is based on the gray correlation matching,using two pixels and their regional information,through accessing the template and calculating the minimum margin to find the best match.On the basis of matching,the fade-in fade-out method is used to realize the image smoothing mosaic to enhance the matching effect.The software simulation results show that this method has good practicali-ty,high successful matching rate,and takes the matching speed into account,there is no obvious splicing gap in the matching image,the effect is very significant.
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