陕西师范大学学报(自然科学版)
陝西師範大學學報(自然科學版)
협서사범대학학보(자연과학판)
JOURNAL OF SHAANXI NORMAL UNIVERSITY(NATURAL SCIENCE EDITION)
2014年
4期
16-21
,共6页
运动目标提取%特征点聚类%图像镶嵌%重影去除
運動目標提取%特徵點聚類%圖像鑲嵌%重影去除
운동목표제취%특정점취류%도상양감%중영거제
moving obj ect extraction%feature points clustering%image mosaic%ghost removing
为解决传统的图像镶嵌方法在出现局部运动目标的情况下产生的重影现象,提出一种改进的针对运动目标重影去除的方法。对于N帧图像,算法首先通过SIFT特征点聚类和运动特征点剔除方法过滤这些图像特征点,在消除参数累积误差之后,通过三帧差法分离出背景并使用无缝融合方法完成前N-1帧图像的背景融合;然后把最后一帧与前N-1帧的已镶嵌图像进行匹配和融合,得到最后的全景镶嵌图像。实验结果表明:该算法能有效解决全景图像镶嵌中运动目标的重影问题,并保留当前最后一帧图像的运动信息。
為解決傳統的圖像鑲嵌方法在齣現跼部運動目標的情況下產生的重影現象,提齣一種改進的針對運動目標重影去除的方法。對于N幀圖像,算法首先通過SIFT特徵點聚類和運動特徵點剔除方法過濾這些圖像特徵點,在消除參數纍積誤差之後,通過三幀差法分離齣揹景併使用無縫融閤方法完成前N-1幀圖像的揹景融閤;然後把最後一幀與前N-1幀的已鑲嵌圖像進行匹配和融閤,得到最後的全景鑲嵌圖像。實驗結果錶明:該算法能有效解決全景圖像鑲嵌中運動目標的重影問題,併保留噹前最後一幀圖像的運動信息。
위해결전통적도상양감방법재출현국부운동목표적정황하산생적중영현상,제출일충개진적침대운동목표중영거제적방법。대우N정도상,산법수선통과SIFT특정점취류화운동특정점척제방법과려저사도상특정점,재소제삼수루적오차지후,통과삼정차법분리출배경병사용무봉융합방법완성전N-1정도상적배경융합;연후파최후일정여전N-1정적이양감도상진행필배화융합,득도최후적전경양감도상。실험결과표명:해산법능유효해결전경도상양감중운동목표적중영문제,병보류당전최후일정도상적운동신식。
In order to solve the problem of significant ghost phenomenon produced in image mosaic results caused by moving obj ects occur in image sequence,an improved method which is mainly used to eliminating of ghosting is proposed.With this method,after SIFT feature points cluste-ring algorithm is employed,the geometric similarity relation between matching pairs is used to e-liminate feature points on moving obj ect,thus accurate feature point matching pairs filtered out. After eliminating cumulative errors,use three frames difference method to extract the back-ground of the previous N-1 frames and fuse them together,then match the last frame with it to produce the final panoramic mosaic image.The result shows that the improved method can effi-ciently remove the ghost occur in the panoramic images and keep the moving information of the last frame.