全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
-  2018 

单张无人机影像水体高光自动检测与补偿方法
A Method for Automatic Water High Light Detection and Removal in Single UAV Image

DOI: 10.13203/j.whugis20170011

Keywords: 水体高光检测,水体高光筛选,水体高光补偿,高光分量,改进Criminisi算法,
water high light detection
,water high light selection,water high light removal,high light component,improved Criminisi algorithm

Full-Text   Cite this paper   Add to My Lib

Abstract:

无人机获取地面影像时,水体反射会导致影像中存在较为明显的水体高光,给数据处理带来一定困难并对DOM(digital orthophoto map)质量产生显著影响。提出了一种单张无人机影像水体高光自动检测与补偿方法,先基于高光分量对高光区域进行多尺度检测,再使用Grabcut算法对其边界进行优化;然后根据地物反射的几何与光谱特性建立决策树剔除非水体高光;接着精化高光区域,将附近的细碎高光点纳入到区域内;最后,使用提出的改进Criminisi算法对高光区域进行补偿。使用无人机影像对该方法的有效性进行验证,综合主观目视与PNSR(peak signal to noise ratio)、SSIM(structural similarity index)指数的客观评价结果,本文方法优于Mallick、Shen、Yoon等人的方法;使用Pix4Dmapper对高光处理前后的影像生成DOM,本文方法可以明显提高DOM质量

References

[1]  YoonK J, Choi Y, Kweon I S. Fast Separation of Reflection Components Using a Specularity-Invariant Image Representation[C]. IEEE International Conference on Image Processing, Atlanta, USA, 2006
[2]  Shen H L, Zheng Z H.Real-Time Highlight Removal Using Intensity Ratio[J]. Applied Optics, 2013, 52(19):4483-4493
[3]  Nguyen T, Vo Q N, Kim S H, et al. A Novel and Effective Method for Specular Detection and Removal by Tensor Voting[C]. IEEE International Conference on Image Processing, Paris, France, 2014
[4]  Yu D, Han J, Jin X, et al. Efficient Highlight Removal of Metal Surfaces[J].Signal Processing, 2014, 103(10):367-379
[5]  Madooei A, Drew M S.Detecting Specular Highlights in Dermatological Images[C]. IEEE International Conference on Image Processing, Québec City, Canada, 2015
[6]  Munsell A H. A Color Notation[M]. Baltimore:Munsell Color Company, 1919
[7]  Douglas D H, Peucker T K. Algorithms for the Reduction of the Number of Points Required to Represent a Digitized Line or Its Caricature[J].Cartographica:The International Journal for Geographic Information and Geovisualization, 1973, 10(2):112-122
[8]  Wolff L B. Using Polarization to Separate Reflection Components[C]. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, San Diego, USA, 1989
[9]  GonzalezR C, Woods R E. Digital Image Processing[M]. 3rd ed. New Jersey:Prentice-Hall Inc, 2007
[10]  Wang Z, Bovik A C, Sheikh H R, et al. Image Quality Assessment:From Error Visibility to Structural Similarity[J].IEEE Transactions on Image Processing, 2004, 13(4):600-612
[11]  Nayar S K, Fang X S, Boult T. Separation of Reflection Components Using Color and Polarization[J].International Journal of Computer Vision, 1997, 21(3):163-186
[12]  Lee S W, Bajcsy R.Detection of Specularity Using Colour and Multiple Views[J]. Image and Vision Computing, 1992, 10(10):643-653
[13]  Lin S, Li Y, Kang S B, et al.Diffuse-Specular Separation and Depth Recovery from Image Sequences[C]. European Conference on Computer Vision, Copenhagen, Denmark, 2002
[14]  Sato Y, Ikeuchi K. Temporal-Color Space Analysis of Reflection[J]. JOSA A, 1994, 11(11):2990-3002
[15]  Shafer S A. Using Color to Separate Reflection Components[J]. Color Research & Application, 1985, 10(4):210-218
[16]  Lin S, Shum H Y.Separation of Diffuse and Specular Reflection in Color Images[C]. IEEE Conference on Computer Vision and Pattern Recognition, Kauai, USA, 2001
[17]  Klinker G J, Shafer S A, Kanade T. The Measurement of Highlights in Color Images[J]. International Journal of Computer Vision, 1988, 2(1):7-32
[18]  Rother C, Kolmogorov V, Blake A. Grabcut:Interactive Foreground Extraction Using Iterated Graph Cuts[C]. ACM Transactions on Graphics (TOG), New York, USA, 2004
[19]  Cortes C, Vapnik V. Support-Vector Networks[J].Machine Learning, 1995, 20(3):273-297
[20]  Barsky S, Petrou M. The 4-Source Photometric Stereo Technique for Three-Dimensional Surfaces in the Presence of Highlights and Shadows[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003, 25(10):1239-1252
[21]  Tan R T, Ikeuchi K.Separating Reflection Components of Textured Surfaces Using a Single Image[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005, 27(2):178-193
[22]  Mallick S P, Zickler T, Belhumeur P N, et al. Specu-larity Removal in Images and Videos:A PDE Approach[C]. European Conference on Computer Vision, Graz, Austria, 2006
[23]  Kim H, Jin H, Hadap S, et al.Specular Reflection Separation Using Dark Channel Prior[C]. IEEE Conference on Computer Vision and Pattern Recognition, Portland, USA, 2013
[24]  Bajcsy R, Lee S W, Leonardis A. Detection of Diffuse and Specular Interface Reflections and Inter-Reflections by Color Image Segmentation[J]. International Journal of Computer Vision, 1996, 17(3):241-272
[25]  Tan P, Quan L, Lin S. Separation of Highlight Reflections on Textured Surfaces[C]. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, New York, USA, 2006
[26]  Tan R T, Ikeuchi K.Reflection Components Decomposition of Textured Surfaces Using Linear Basis Functions[C]. IEEE Conference on Computer Vision and Pattern Recognition, San Diego, USA, 2005
[27]  Suo J, An D, Ji X, et al. Fast and High Quality Highlight Removal from a Single Image[J].IEEE Transactions on Image Processing, 2016, 25(11):5441-5454
[28]  Criminisi A, Pérez P, Toyama K. Region Filling and Object Removal by Exemplar-Based Image Inpainting[J].IEEE Transactions on Image Proces-sing, 2004, 13(9):1200-1212

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133