Wolfram Language & System 10.0 (2014)|Legacy Documentation

This is documentation for an earlier version of the Wolfram Language.View current documentation (Version 11.2)


finds line segments in image and returns the coordinates of their endpoints.

uses the threshold t for selecting image lines.

uses the parameter d to control the distinctness of the detected lines.

Details and OptionsDetails and Options

  • ImageLines returns a list of line segments where each is expressed in the standard image coordinate system.
  • ImageLines[image,t] finds lines in the image whose normalized strength is larger than the specified threshold t.
  • ImageLines sorts the result based on the normalized strength.
  • In ImageLines[image,t,d], the parameter d controls how close lines are suppressed. If the value is set to zero, all detected lines are returned. With d set to , only the strongest line may be returned.
  • The following options can be given:
  • MaxFeaturesAllmaximum number of features to return
    Method"Hough"method to detect lines
  • With a setting MaxFeatures->n, at most n lines with largest normalized strength are returned.
  • Possible line detection methods are:
  • "Hough"lines based on Hough transform (default)
    "RANSAC"lines using the RANSAC algorithm
  • With Method->"Hough", lines are detected by iteratively selecting the strongest peaks in the Hough transform. Using the distinctness parameter, peaks that are within a rectangular range from the already selected peaks are excluded from the set of line candidates.
  • With Method->"RANSAC", lines are detected using random sampling. For each sampling, pixels that are within a distance specified by the distinctness parameter d are used for computing the strength of the line. The pixels on the selected line are not used in the following iterations.
  • By default, ImageLines returns lines that span from border to border. With a setting Method->{"Segmented"->True}, detected lines may be divided into smaller line segments.
Introduced in 2010
| Updated in 2014