|
107 | 107 | import net.haesleinhuepf.clijx.plugins.MeanZProjectionBelowThreshold;
|
108 | 108 | import net.haesleinhuepf.clijx.plugins.GenerateDistanceMatrixAlongAxis;
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109 | 109 | import net.haesleinhuepf.clijx.plugins.GenerateAngleMatrix;
|
110 |
| -import net.haesleinhuepf.clij2.plugins.VisualizeOutlinesOnOriginal; |
111 | 110 | import net.haesleinhuepf.clijx.plugins.FlagLabelsOnEdges;
|
112 | 111 | import net.haesleinhuepf.clijx.plugins.KMeansLabelClusterer;
|
113 | 112 | import net.haesleinhuepf.clijx.plugins.ReadIntensitiesFromMap;
|
@@ -2023,19 +2022,6 @@ default boolean generateAngleMatrix(ClearCLBuffer coordinate_list1, ClearCLBuffe
|
2023 | 2022 | }
|
2024 | 2023 |
|
2025 | 2024 |
|
2026 |
| - // net.haesleinhuepf.clijx.plugins.VisualizeOutlinesOnOriginal |
2027 |
| - //---------------------------------------------------- |
2028 |
| - /** |
2029 |
| - * Combines an intensity image and a label (or binary) image so that you can see segmentation outlines on the intensity image. |
2030 |
| - */ |
2031 |
| - default boolean visualizeOutlinesOnOriginal(ClearCLBuffer intensity, ClearCLBuffer labels, ClearCLBuffer destination) { |
2032 |
| - if (doTimeTracing()) {recordMethodStart("VisualizeOutlinesOnOriginal");} |
2033 |
| - boolean result = VisualizeOutlinesOnOriginal.visualizeOutlinesOnOriginal(getCLIJ2(), intensity, labels, destination); |
2034 |
| - if (doTimeTracing()) {recordMethodEnd("VisualizeOutlinesOnOriginal");} |
2035 |
| - return result; |
2036 |
| - } |
2037 |
| - |
2038 |
| - |
2039 | 2025 | // net.haesleinhuepf.clijx.plugins.FlagLabelsOnEdges
|
2040 | 2026 | //----------------------------------------------------
|
2041 | 2027 | /**
|
@@ -2328,4 +2314,4 @@ default boolean colorDeconvolution(ClearCLBuffer source, ClearCLBuffer color_vec
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2328 | 2314 | }
|
2329 | 2315 |
|
2330 | 2316 | }
|
2331 |
| -// 138 methods generated. |
| 2317 | +// 137 methods generated. |
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