From b3c28cb542ee0d3fc95d117e27ec5706797e8ad4 Mon Sep 17 00:00:00 2001 From: k-dominik Date: Mon, 25 Sep 2023 19:20:53 +0200 Subject: [PATCH] doc: update multicut screenshots --- README.md | 7 ++----- doc/screenshots/IJ-MC-dialog.png | Bin 0 -> 182224 bytes doc/screenshots/IJ-MC-output.png | Bin 0 -> 511198 bytes doc/screenshots/MC-output.png | Bin 421589 -> 0 bytes doc/screenshots/multicut-dialog.png | Bin 3509 -> 0 bytes 5 files changed, 2 insertions(+), 5 deletions(-) create mode 100644 doc/screenshots/IJ-MC-dialog.png create mode 100644 doc/screenshots/IJ-MC-output.png delete mode 100644 doc/screenshots/MC-output.png delete mode 100644 doc/screenshots/multicut-dialog.png diff --git a/README.md b/README.md index 2038ade8..d712f8da 100644 --- a/README.md +++ b/README.md @@ -192,7 +192,7 @@ A basic macro example for running object classification on a single image can be ### Boundary-based Segmentation with Multicut Found at `Plugins -> ilastik -> Run Multicut`. -![Multicut Dialog](./doc/screenshots/multicut-dialog.png) +![Multicut Dialog](./doc/screenshots/IJ-mc-dialog.png) **Inputs:** @@ -204,10 +204,7 @@ Found at `Plugins -> ilastik -> Run Multicut`. * a new integer value image (label image) where the pixels belonging to the same object have the same value. The example image below shows (left to right) raw data, boundary probability map, and multicut segmentation result (with applied LUT). - ![Multicut Output](./doc/screenshots/MC-output.png) - - - + ![Multicut Output](./doc/screenshots/IJ-mc-output.png) ### Tracking diff --git a/doc/screenshots/IJ-MC-dialog.png b/doc/screenshots/IJ-MC-dialog.png new file mode 100644 index 0000000000000000000000000000000000000000..0226df924a4008f6919d43dd08cffb63d6428bba GIT binary patch literal 182224 zcmeFYc|27A-#;uwB}S=iF_sG1LI}gyib@p87P4hG*(Bi~GTNO#gV}@n6SM+I-WR`l4D>kq)@|pw zOh)-EM$cyE(1)4#d*4Jwv3xmMiIm+aVbYzk@qX)0t)OGhc{XWwGciPlT}zN%JgXVP zz|inUEcpzhX5w~o!ihGYlafD@ni+&MWjn@iJ-pbFdaFUtE+Mh`Rqas*#mgy@T`Zc} z0$b4{HcCT3R>H@ww{pK>_~EE|{_fo?&q3ZStxtd4I9c`(ow^@pNWxxKU{(A&h1V)d zkNWsI{Me_tko82mf&jh#%t8-K$XN5OzIfdWoy#Y;pDMt#6VICnub*;iZ`CehBCrbE z+JWS5b;V!5Ah~wWAv2NPmt{xz>2F`1k3veXt{EhPxr*l$Dqh;1fBpM}mKYnG%1usw zO^B@!`zkzlniBq}}(8%}1X!9wc5oe*5lt%2|EZr6|wd 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