亚洲免费av电影一区二区三区,日韩爱爱视频,51精品视频一区二区三区,91视频爱爱,日韩欧美在线播放视频,中文字幕少妇AV,亚洲电影中文字幕,久久久久亚洲av成人网址,久久综合视频网站,国产在线不卡免费播放

        ?

        結(jié)合變形函數(shù)和冪函數(shù)權(quán)重的圖像拼接

        2019-11-15 04:49:03李加亮蔣品群
        計(jì)算機(jī)應(yīng)用 2019年10期
        關(guān)鍵詞:重影權(quán)重

        李加亮 蔣品群

        摘 要:針對(duì)圖像拼接算法存在效率低下、特征點(diǎn)錯(cuò)誤匹配、重影和拼接縫等問(wèn)題,提出一種基于尺度不變特征變換、薄板樣條函數(shù)和冪函數(shù)的圖像拼接方法。該方法通過(guò)對(duì)輸入圖像進(jìn)行采樣匹配,計(jì)算輸入圖像間的點(diǎn)映射關(guān)系和重合區(qū)域,使用點(diǎn)映射關(guān)系對(duì)重合區(qū)域內(nèi)的特征點(diǎn)進(jìn)行定向配準(zhǔn),利用特征點(diǎn)集合計(jì)算出圖像的局部扭曲模型,使用圖像插值方法對(duì)圖像進(jìn)行變形映射;采用冪函數(shù)權(quán)重模型對(duì)變形圖像中的像素進(jìn)行平滑過(guò)渡,完成圖像拼接。實(shí)驗(yàn)結(jié)果表明,在拼接相同圖像的情況下,所提方法與傳統(tǒng)的尺度不變特征變換算法相比,特征點(diǎn)配準(zhǔn)效率提高了約59.78%,而且得到了更多的特征點(diǎn)對(duì);與經(jīng)典的圖像拼接算法相比,該方法解決了圖像的重影和拼接縫的問(wèn)題,同時(shí)提高了圖像的質(zhì)量評(píng)估指標(biāo)的得分。

        關(guān)鍵詞:圖像拼接;多分辨率融合;重影;圖像變形;尺度不變特征變換;權(quán)重

        中圖分類號(hào):TP391

        文獻(xiàn)標(biāo)志碼:A

        Abstract: An image stitching method based on Scale-Invariant Feature Transform (SIFT), thin-plate spline function and power function was proposed to solve the problem of low efficiency, mismatching of feature points, ghosting and stitching seam in image stitching algorithm. The point mapping relationship and overlapping area between the images were calculated by sampling and matching the input images. The local distortion model of the image was calculated by the feature point set, and the deformation of the image was completed by image interpolation. The power function weighting model was used to realize smooth transaction of the pixels in the deformed image to complete the image stitching. Experimental results show that the proposed method improves the registration efficiency of the feature points approximately by 59.78% and obtains more pairs of feature points compared to the traditional SIFT algorithm. Moreover, compared with the classical image stitching algorithm, the method solves the problems of image ghosting and stitching seam, and improves the score of image quality evaluation index.Key words: image stitching; multi-resolution fusion; ghosting; image deformation; Scale-Invariant Feature Transform (SIFT); weight

        0 引言

        圖像拼接技術(shù)將一組存在重合區(qū)域的圖像融合,得到一幅包含該組圖像信息的新圖像,可分為特征點(diǎn)的配準(zhǔn)、圖像的變形和圖像的融合等過(guò)程。

        Lowe[1]結(jié)合高斯濾波器與尺度空間理論,提出了具有較強(qiáng)穩(wěn)定性的尺度不變特征變換(Scale Invariant Feature Transform, SIFT)算法。Bay等[2]使用盒式濾波器代替高斯濾波提出加速穩(wěn)健特征(Speeded Up Robust Features, SURF)算法結(jié)合積分圖簡(jiǎn)化計(jì)算提升了SIFT算法的效率。Rublee等[3]通過(guò)對(duì)尺度不變性的圖像金字塔應(yīng)用角點(diǎn)檢測(cè),構(gòu)建二進(jìn)制串特征描述符提出了快速指向和旋轉(zhuǎn)二進(jìn)制描述符,提出了快速指向和旋轉(zhuǎn)二進(jìn)制描述符(Oriented fast and Rotated Brief, ORB)算法,提高了特征點(diǎn)的配準(zhǔn)速度,但不具有尺度不變性,且穩(wěn)定性較差。Brown等[4]提出自動(dòng)拼接的算法(AutoStitch)利用全局單應(yīng)性矩陣對(duì)齊圖像,解決了微小視差圖像的拼接問(wèn)題,但無(wú)法處理大視差圖像。Zaragoza等[5]首先將網(wǎng)格優(yōu)化模型引入圖像拼接,提出了盡可能如投影般的圖像拼接(As Projective As Possible image stitching, APAP)對(duì)圖像進(jìn)行網(wǎng)格化,使用局部單應(yīng)性矩陣完成圖像拼接。Lin等[6]使用線性化的單應(yīng)性矩陣控制透視變換的逐漸變化,并采用全局相似變換投影圖像,提出盡可能自然的自適應(yīng)圖像拼接(Adaptive As Natural As Possible image stitching, AANAP),能夠自適應(yīng)確定圖像旋轉(zhuǎn)角度,使拼接圖像更加自然。在拼接有曝光度差異以及較大視差的圖像時(shí),AutoStitch、APAP和AANAP等算法[4-6]均出現(xiàn)了物體變形、重影與拼接縫等問(wèn)題。

        為了解決拼接圖像的過(guò)程中存在的特征點(diǎn)錯(cuò)誤匹配,及拼接結(jié)果中存在重影和拼接縫等拼接痕跡的問(wèn)題,本文提出一種定向配準(zhǔn)特征點(diǎn)與優(yōu)化的變形函數(shù)相結(jié)合的方法使圖像的對(duì)齊更加精確,采用冪函數(shù)權(quán)重模型對(duì)變形圖像的像素進(jìn)行平滑過(guò)渡以消除拼接痕跡的問(wèn)題。實(shí)驗(yàn)結(jié)果驗(yàn)證了本文方法能有效解決上述問(wèn)題,使拼接圖像更加自然。

        [6] LIN C, PANKANTI S U, RAMAMURTHY K N, et al. Adaptive as-natural-as-possible image stitching[C]// Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition. Piscataway: IEEE, 2015: 1155-1163.

        [7] BOOKSTEIN F L. Principal warps: thin-plate splines and the decomposition of deformations[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1989, 11(6): 567-585.

        [8] SHENG H, LOU C, XU W, et al. A seamless approach to stitching lunar DOMs with TPS[J]. Applied Mathematics & Information Sciences, 2013, 7(2L): 555-562.

        [9] CHEN C, HUNG Y, CHENG J. RANSAC-based DARCES: a new approach to fast automatic registration of partially overlapping range images[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1999, 21(11):1229-1234.

        [10] HOSSEIN-NEJAD Z, NASRI M. An adaptive image registration method based on SIFT features and RANSAC transform [J]. Computers & Electrical Engineering, 2017, 62(8): 524-537.

        [11] MEYER C R, BOES J L, KIM B, et al. Demonstration of accuracy and clinical versatility of mutual information for automatic multimodality image fusion using affine and thin-plate spline warped geometric deformations [J]. Medical Image Analysis, 1997, 1(3): 195-206.

        [12] GUO H, HOU Y, ZHAO Y. An image matching algorithm using Thin Plate Splines (TPS) transformation model [J]. International Journal of Simulation Systems, Science and Technology, 2016, 17(8): No.13.

        [13] LI J, WANG Z, LAI S, et al. Parallax-tolerant image stitching based on robust elastic warping [J]. IEEE Transactions on Multimedia, 2018, 20(7): 1672-1687.

        [14] 谷雨,周陽(yáng),任剛,等.結(jié)合最佳縫合線和多分辨率融合的圖像拼接[J].中國(guó)圖象圖形學(xué)報(bào),2017(6):842-851. (GU Y, ZHOU Y, REN G, et al. Image stitching by combining optimal seam and multi-resolution fusion [J]. Journal of Image and Graphics, 2017, 22(6): 842-851.).

        [15] 瞿中, 喬高元, 林嗣鵬. 一種消除圖像拼接縫和鬼影的快速拼接算法[J]. 計(jì)算機(jī)科學(xué), 2015, 42(3): 280-283. (QU Z, QIAO G Y, LIN S P. Fast image stitching algorithm eliminates seam line and ghosting [J]. Computer Science, 2015, 42(3): 280-283.).

        [16] HORE A, ZIOU D. Image quality metrics: PSNR vs. SSIM [C]// Proceedings of the 20th International Conference on Pattern Recognition. Piscataway: IEEE, 2010: 2366-2369.

        猜你喜歡
        重影權(quán)重
        重影輕波
        重影輕波
        迎春花
        牡丹(2021年11期)2021-07-20 07:24:42
        權(quán)重常思“浮名輕”
        為黨督政勤履職 代民行權(quán)重?fù)?dān)當(dāng)
        基于公約式權(quán)重的截短線性分組碼盲識(shí)別方法
        夫妻口角變成弒親血案
        膠印新產(chǎn)品重影分析
        今日印刷(2016年1期)2016-02-23 13:23:34
        基于權(quán)重學(xué)習(xí)的圖像最大權(quán)對(duì)集匹配模型
        層次分析法權(quán)重的計(jì)算:基于Lingo的數(shù)學(xué)模型
        河南科技(2014年15期)2014-02-27 14:12:51
        在线视频制服丝袜中文字幕| 中文字幕av伊人av无码av| 国产日产综合| 亚洲在AV极品无码天堂手机版 | 久久精品国波多野结衣| 中文字幕一区,二区,三区| 国产情侣亚洲自拍第一页| 亚洲人成人无码www影院| 国内露脸中年夫妇交换| 免费在线观看蜜桃视频| av在线免费观看大全| 成人av鲁丝片一区二区免费| 欧美国产日产一区二区| 亚洲双色视频在线观看| 97精品人妻一区二区三区在线| 无码av一区二区大桥久未| 日韩在线精品国产成人| 国产黄色污一区二区三区| 公厕偷拍一区二区三区四区五区| 亚洲综合国产一区二区三区| 男人j进女人p免费视频| 视频一区二区免费在线观看| 国产欧美日韩中文久久| 色婷婷综合中文久久一本| 亚洲一区二区精品久久岳| 日本免费一区二区在线看片| 男人的天堂无码动漫av| 97欧美在线| 亚洲色图少妇熟女偷拍自拍 | 在线观看国产自拍视频| 久久久亚洲欧洲日产国码aⅴ| 夜夜揉揉日日人人| 一区二区三区不卡免费av| 亚洲一区二区三区偷拍女| 亚洲午夜福利在线视频| 曰韩精品无码一区二区三区| 成人性生交大片免费看激情玛丽莎 | 中文字幕人妻少妇久久| 亚洲成av人片在www鸭子| 囯产精品一品二区三区| 3亚洲日韩在线精品区|