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Inundated_Area_Identification

Version 3.1

Algorithm:

  • Step 1: Find minimum pixel value (Vmin) in image/matrix.
  • Step 2: Set Global threshold (t) to SD of the whole image.
  • Step 3: Find water pixel p and draw a window around pixel p.
  • Step 4: Calculate mean (m1) of the pixels in the window in range [Vmin, Vmin + t] using global threshold t.
  • Step 5: Increase the threshold, t by a small value Δt. Let, this be the local threshold, t1’.
  • Step 6: Now calculate the mean (m2) of the window again.
  • Step 7: If abs(m1-m2) > x then increase t1’ by Δt
  • Step 8: Terminate when mean difference is constant or negligible (<= x ).
  • Step 9: Else repeat from step 3 to step 7.
  • Step 10: With the final value of Local Threshold grow the region.

P.s.: mean difference acceptable range x are choosen by trial and error

Limitation

  • Cannot Identify small regions or cluster of small regions

Conclusion

  • Final Solution of the Project.

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