wiki:GSoC/2016/Additional_segmentation_algorithms/weekly_report

Version 28 (modified by hao2309, 8 years ago) ( diff )

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GRASS GSoC 2016 Additional Image Segmentation Algorithms for i.segment

Student Name:
Bo Yang
Organization:
OSGeo - Open Source Geospatial Foundation
Mentors:
Moritz Lennert, Markus Metz
Title:
Additional segmentation algorithms for i.segment
Repository:
GRASS 7, browse at: i.segment sandbox

16 – 21 May week 0: Setup coding environmental, get familiar with programming manual

What did you get done this week?

  • Finished A small exercise too get more familiar with basic GRASS codes

Currently i.segment only provides region-growth algorithm. By modifying the codes in parse_args.c I added three inputs each for the additional two algorithms-- mean-shift and watershed.

  • Reviewed some literature for mean-shift algorithm
  1. Deng, C., Li, S., Bian, F., & Yang, Y. (2015). Remote Sensing Image Segmentation Based on Mean, (1999), 179–185.
  2. Michel, J., Youssefi, D., & Grizonnet, M. (2015). Stable mean-shift algorithm and its application to the segmentation of arbitrarily large remote sensing images. IEEE Transactions on Geoscience and Remote Sensing, 53(2), 952–964. http://doi.org/10.1109/TGRS.2014.2330857
  3. Zhang, Q., Liu, C., Zhang, G., & Zhou, A. (2014). Adaptive image segmentation by using mean-shift and evolutionary optimisation. IET Image Processing, 8(6), 327–333. http://doi.org/10.1049/iet-ipr.2013.0195
  4. Zhou, J.-X., Li, Z.-W., & Fan, C. (2015). Improved fast mean shift algorithm for remote sensing image segmentation. IET Image Processing, 9(5), 389–394. http://doi.org/10.1049/iet-ipr.2014.0393
  • Some discussions were made about the algorithm and literature

What do you plan on doing next week?

  • Make clear understanding about the algorithm mechanism and write the pseudo codes for prototyping

Are you blocked on anything?

  • Some issues happened during the compiling of the GRASS in Windows environmental. but with the help of community, the problem was later solved.

23 - 28 May week 1: Start coding, develop pseudo-code to outline the work

What did you get done this week?

  • Further discussion about the algorithm mechanism (about the edge effect)
  • Got the access for GRASS-addons-svn and sandbox
  • Mentors reviewed pseudo-code and send the improved version

What do you plan on doing next week?

  • Write the meanshift.c module to implement the mean-shift algorithm based on pseudo-code.
  1. Codes will be implemented based on the essential functions of mean-shift algorithm.
  2. The fixed bandwidth and range width will be used.
  3. Codes need to implement the function which is able to separate objects(super-pixel).

Are you blocked on anything?

  • No, thanks for mentors modifying a more generic pseudo-code
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