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detect-lines's Introduction

detect-lines

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  • Image reading

  • Image low pass filtering

  • Emphasis on low image intensities:

  • Background subtraction, horizontal stripes removal

  • Obtaining one-dimensional (special case) Fourier spectra for image fragments using https://github.com/leerichardson/tree-swdft-2D

  • Finding the separation line points where spectra main frequencies abruptly change

  • Preliminary filtering of points using cv::partition and nanoflann library

  • Using RANSAC to find the separation line using separation line points

  • Using CERES solver to refine the separation line

  • Using both adaptiveThreshold and binary background subtraction to generate threshold image

  • Using thinning to obtain lines skeletons

  • Calling erode/dilate to filter out vertical lines

  • Invoking HoughLinesP to generate lines from skeletons

  • Merging lines according to https://stackoverflow.com/a/51121483/10472202

  • Filtering out short lines

  • Cutting lines using the RANSAC/CERES separation line mentioned above

  • Filtering out short lines once more

  • Search for the beginnings of short stripes with "known good" SURF data

  • Movement to the left and up along long lines

  • Merging HoughLinesP and SURF results to obtain the final data

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