Automatic Image Registration

10 pages•Published: August 5, 2017

Abstract

The automatic construction of large, high-resolution multi view image registration is an active area of research in the fields of image processing. Multiview image registration can be used for many different applications. The most traditional application is the construction of large aerial and satellite photographs from collections of images, construction of virtual travel etc. This proposed Automatic feature based image registration method does not allow any user interaction and perform all registration steps automatically. Here the matching points are found automatically using local feature detector i.e. harris corner detector which find invariant features using feature descriptors as oriented patches. For estimating homography between detected features of images to be registered, Homography estimator i.e. modified RANSAC (RANdom SAmple Consensus) algorithm, and direct linear transformation algorithm is used. Here features are located at Harris corners (new improved) in discrete scale-space and oriented using a blurred local gradient. To have better spatial distribution of features, adaptive non- maximal suppression algorithm is used.Feature matching are achieved using RANSAC which also uses DLT (Direct Linear Transformation) and warping is applied to achieve final registered image. This proposed algorithm can be applied for the series of images that may or may not be in the same alignment as per desired output image, thus mainly scaling, rotation and image transformation must be applied to get proper registered image.

Keyphrases: homography estimation, image registration, image warping

In: Ajitkumar Shukla, J. M. Patel, P. D. Solanki, K. B. Judal, R. K. Shukla, R. A. Thakkar, N. P. Gajjar, N. J. Kothari, Sukanta Saha, S. K. Joshi, Sanjay R. Joshi, Pranav Darji, Sanjay Dambhare, Bhupendra R. Parekh, P. M. George, Amit M. Trivedi, T. D. Pawar, Mehul B. Shah, Vinay J. Patel, Mehfuza S. Holia, Rashesh P. Mehta, Jagdish M. Rathod, Bhargav C. Goradiya and Dharita K. Patel (editors). ICRISET2017. International Conference on Research and Innovations in Science, Engineering and Technology. Selected Papers in Engineering, vol 1, pages 402-411.

Links:	https://easychair.org/publications/paper/hzd5
	https://doi.org/10.29007/kqbg

BibTeX entry

@inproceedings{ICRISET2017:Automatic_Image_Registration,
  author    = {Mehfuza Holia and Zankhana Shah},
  title     = {Automatic Image Registration},
  booktitle = {ICRISET2017. International Conference on Research and Innovations in  Science, Engineering and Technology. Selected Papers in Engineering},
  editor    = {Ajitkumar Shukla and J. M. Patel and P. D. Solanki and K. B. Judal and R. K. Shukla and R. A. Thakkar and N. P. Gajjar and N. J. Kothari and Sukanta Saha and S. K. Joshi and Sanjay R. Joshi and Pranav Darji and Sanjay Dambhare and Bhupendra R. Parekh and P. M. George and Amit M. Trivedi and T. D. Pawar and Mehul B. Shah and Vinay J. Patel and Mehfuza S. Holia and Rashesh P. Mehta and Jagdish M. Rathod and Bhargav C. Goradiya and Dharita K. Patel},
  series    = {Kalpa Publications in Engineering},
  volume    = {1},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2515-1770},
  url       = {/publications/paper/hzd5},
  doi       = {10.29007/kqbg},
  pages     = {402-411},
  year      = {2017}}

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