现代电子技术
現代電子技術
현대전자기술
MODERN ELECTRONICS TECHNIQUE
2013年
23期
57-60
,共4页
王利%易子川%潘中良%白鹏飞
王利%易子川%潘中良%白鵬飛
왕리%역자천%반중량%백붕비
图像拼接%色彩校正%SIFT%图像融合
圖像拼接%色綵校正%SIFT%圖像融閤
도상병접%색채교정%SIFT%도상융합
image stitching%color correction%SIFT%image fusion
针对有明显色彩和亮度差异的图片,在进行传统的图像拼接后,会产生肉眼可见的拼接缝,严重影响拼接效果。因此,提出一种针对存在色差的图像拼接算法。首先,计算相邻图片间的色彩校正参数和每个彩色通道的全局色彩调整参数,选择适合的颜色和亮度,对每一幅图片进行色彩校正。其次,引入SIFT和RANSAC算法,实现了图像的准确配准。最后,采取0-1加权融合算法和平均融合算法结合进行图像融合,得到最终的全景图像。实验结果表明,由于已经进行图像间的校正,减少了待拼接图像的色差,使得图像的融合更加简单。该算法对于存在色差的图片序列可以实现无缝快速的拼接,并且可根据需要调整图像的色彩和亮度。
針對有明顯色綵和亮度差異的圖片,在進行傳統的圖像拼接後,會產生肉眼可見的拼接縫,嚴重影響拼接效果。因此,提齣一種針對存在色差的圖像拼接算法。首先,計算相鄰圖片間的色綵校正參數和每箇綵色通道的全跼色綵調整參數,選擇適閤的顏色和亮度,對每一幅圖片進行色綵校正。其次,引入SIFT和RANSAC算法,實現瞭圖像的準確配準。最後,採取0-1加權融閤算法和平均融閤算法結閤進行圖像融閤,得到最終的全景圖像。實驗結果錶明,由于已經進行圖像間的校正,減少瞭待拼接圖像的色差,使得圖像的融閤更加簡單。該算法對于存在色差的圖片序列可以實現無縫快速的拼接,併且可根據需要調整圖像的色綵和亮度。
침대유명현색채화량도차이적도편,재진행전통적도상병접후,회산생육안가견적병접봉,엄중영향병접효과。인차,제출일충침대존재색차적도상병접산법。수선,계산상린도편간적색채교정삼수화매개채색통도적전국색채조정삼수,선택괄합적안색화량도,대매일폭도편진행색채교정。기차,인입SIFT화RANSAC산법,실현료도상적준학배준。최후,채취0-1가권융합산법화평균융합산법결합진행도상융합,득도최종적전경도상。실험결과표명,유우이경진행도상간적교정,감소료대병접도상적색차,사득도상적융합경가간단。해산법대우존재색차적도편서렬가이실현무봉쾌속적병접,병차가근거수요조정도상적색채화량도。
An image stitching algorithm is proposed for the images with color difference because the image stitching be-tween two adjacent images with differences in colors and luminance could produce visible color difference and seams when the traditional algorithm is used,and the image stitching effect is affected seriously. The color correction coefficients between adja-cent images and global color adjustment parameters of each color channel are calculated,and color correction for each image is carried out by selection of appropriate color and brightness. SIFT and RANSAC algorithms are introduced and an accurate image registration is realized. 0-1 weighted fusion algorithm and average fusion algorithm are combined to realize the image fusion,and a final panorama image is gotten. Experimental results show that the proposed algorithm can realize seamless fast stitching be-tween images with color difference. In addition,the image fusion algorithm becomes easier than the traditional algorithm by re-ducing the color difference of images.