醫用Χ光機圖像拼接技術研究

2512811 2011-01-04 | rar | 727 | 次下載 | 5積分

資料介紹

為了使醫生能清楚地觀察到人體各部位的完整圖像，提高診斷的精確度，需要對X光機所獲得的局部人體圖像進行拼接處理。在簡要介紹2幅相鄰圖像拼接的基本原理的基礎上，著重研究基于灰度相關配準中的比值匹配法。利用2列像素及其所包含的區域信息，通過獲取模板及計算最小差值尋找最佳匹配值，并在匹配完成的基礎上采用淡入淡出方法對圖像進行平滑拼接，以增強拼接效果。軟件仿真結果表明，此種方法具有很好的實用性，配準成功率很高，同時能兼顧配準速度，拼接后的圖像中間無明顯的拼接縫隙，效果顯著。

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.