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JuliaImages / ImageBinarization.jl

A Julia package of algorithms for analyzing images and automatically binarizing them into background and foreground.
MIT License
35 stars 8 forks source link

Adds Rosin's algorithm. #6

Closed bellascalzi1 closed 5 years ago

bellascalzi1 commented 5 years ago

Adds Rosin's algorithm to the list of algorithms that a user can binarize an image with. Also updates "ImageBinarization.jl"

codecov[bot] commented 5 years ago

Codecov Report

Merging #6 into master will decrease coverage by 13.75%. The diff coverage is 0%.

Impacted file tree graph

@@           Coverage Diff            @@
##           master    #6       +/-   ##
========================================
- Coverage   68.75%   55%   -13.75%     
========================================
  Files           3     4        +1     
  Lines          16    20        +4     
========================================
  Hits           11    11               
- Misses          5     9        +4
Impacted Files Coverage Δ
src/ImageBinarization.jl 100% <ø> (ø) :arrow_up:
src/unimodal.jl 0% <0%> (ø)

Continue to review full report at Codecov.

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codecov[bot] commented 5 years ago

Codecov Report

Merging #6 into master will decrease coverage by 20.68%. The diff coverage is 100%.

Impacted file tree graph

@@             Coverage Diff             @@
##           master       #6       +/-   ##
===========================================
- Coverage   97.95%   77.27%   -20.69%     
===========================================
  Files           7        4        -3     
  Lines          49       22       -27     
===========================================
- Hits           48       17       -31     
- Misses          1        5        +4
Impacted Files Coverage Δ
src/ImageBinarization.jl 100% <100%> (ø) :arrow_up:
src/unimodal.jl 100% <100%> (ø)
src/otsu.jl 0% <0%> (-100%) :arrow_down:
src/balanced.jl
src/minimum.jl
src/intermodes.jl
src/yen.jl
src/polysegment.jl 100% <0%> (+8.33%) :arrow_up:

Continue to review full report at Codecov.

Legend - Click here to learn more Δ = absolute <relative> (impact), ø = not affected, ? = missing data Powered by Codecov. Last update a4a34b7...43011cd. Read the comment docs.