regenerated docs

Author: haesleinhuepf

reference.md

@@ -4,7 +4,7 @@
 Starts acquistion of images from a webcam.
 
 Availability: Available in Fiji by activating the update sites clij and clij2.
-This function is part of clijx_-0.30.2.0.jar.
+This function is part of clijx_-0.31.0.6.jar.
 
 ### Usage in ImageJ macro
 ```

reference_StartContinuousWebcamAcquisition.md

@@ -207,7 +207,7 @@ Transforms a binary image with single pixles set to 1 to a labelled spots image.
 Masks a single label in a label map. 
 
 ### <img src="images/mini_empty_logo.png" width="18" height="18"/><img src="images/mini_clij2_logo.png" width="18" height="18"/><img src="images/mini_empty_logo.png" width="18" height="18"/><img src="images/mini_empty_logo.png" width="18" height="18"/><a href="https://clij.github.io/clij2-docs/reference_labelVoronoiOctagon">labelVoronoiOctagon</a>  
-Takes a labelled image and dilates the labels using a octagon shape until they touch. 
+Takes a labeled image and dilates the labels using a octagon shape until they touch. 
 
 ### <img src="images/mini_clij1_logo.png" width="18" height="18"/><img src="images/mini_clij2_logo.png" width="18" height="18"/><img src="images/mini_clijx_logo.png" width="18" height="18"/><img src="images/mini_empty_logo.png" width="18" height="18"/><a href="https://clij.github.io/clij2-docs/reference_localThreshold">localThreshold</a>  
 Computes a binary image with pixel values 0 and 1 depending on if a pixel value x in image X  was above of equal to the pixel value m in mask image M.
@@ -224,7 +224,7 @@ Computes a masked image by applying a label mask to an image.
 ### <img src="images/mini_clij1_logo.png" width="18" height="18"/><img src="images/mini_clij2_logo.png" width="18" height="18"/><img src="images/mini_clijx_logo.png" width="18" height="18"/><img src="images/mini_empty_logo.png" width="18" height="18"/><a href="https://clij.github.io/clij2-docs/reference_maskStackWithPlane">maskStackWithPlane</a>  
 Computes a masked image by applying a binary 2D mask to an image stack. 
 
-### <img src="images/mini_empty_logo.png" width="18" height="18"/><img src="images/mini_empty_logo.png" width="18" height="18"/><img src="images/mini_clijx_logo.png" width="18" height="18"/><img src="images/mini_cle_logo.png" width="18" height="18"/><a href="https://clij.github.io/clij2-docs/reference_maskedVoronoiLabeling">maskedVoronoiLabeling (Experimental)</a>  
+### <img src="images/mini_empty_logo.png" width="18" height="18"/><img src="images/mini_clij2_logo.png" width="18" height="18"/><img src="images/mini_clijx_logo.png" width="18" height="18"/><img src="images/mini_cle_logo.png" width="18" height="18"/><a href="https://clij.github.io/clij2-docs/reference_maskedVoronoiLabeling">maskedVoronoiLabeling</a>  
 Takes a binary image, labels connected components and dilates the regions using a octagon shape until they touch and only inside another binary mask image.
 
 ### <img src="images/mini_empty_logo.png" width="18" height="18"/><img src="images/mini_clij2_logo.png" width="18" height="18"/><img src="images/mini_clijx_logo.png" width="18" height="18"/><img src="images/mini_empty_logo.png" width="18" height="18"/><a href="https://clij.github.io/clij2-docs/reference_maximumOfMaskedPixels">maximumOfMaskedPixels</a>  
@@ -257,6 +257,9 @@ Apply MorpholibJ Keep Largest Region to a binary image.
 ### <img src="images/mini_empty_logo.png" width="18" height="18"/><img src="images/mini_empty_logo.png" width="18" height="18"/><img src="images/mini_clijx_logo.png" width="18" height="18"/><img src="images/mini_empty_logo.png" width="18" height="18"/><a href="https://clij.github.io/clij2-docs/reference_morphoLibJMarkerControlledWatershed">morphoLibJMarkerControlledWatershed (Experimental)</a>  
 Apply MorpholibJs Marker-controlled Watershed to an image.
 
+### <img src="images/mini_empty_logo.png" width="18" height="18"/><img src="images/mini_empty_logo.png" width="18" height="18"/><img src="images/mini_clijx_logo.png" width="18" height="18"/><img src="images/mini_empty_logo.png" width="18" height="18"/><a href="https://clij.github.io/clij2-docs/reference_morphoLibJRemoveLargestRegion">morphoLibJRemoveLargestRegion (Experimental)</a>  
+Apply MorpholibJ Remove Largest Region to a binary image.
+
 <a name="N"></a>
 
 ## N
@@ -275,7 +278,7 @@ Apply a binary opening to the input image by calling n erosions and n dilations
 ### <img src="images/mini_empty_logo.png" width="18" height="18"/><img src="images/mini_clij2_logo.png" width="18" height="18"/><img src="images/mini_clijx_logo.png" width="18" height="18"/><img src="images/mini_empty_logo.png" width="18" height="18"/><a href="https://clij.github.io/clij2-docs/reference_openingDiamond">openingDiamond</a>  
 Apply a binary opening to the input image by calling n erosions and n dilations subsequenntly.
 
-### <img src="images/mini_empty_logo.png" width="18" height="18"/><img src="images/mini_empty_logo.png" width="18" height="18"/><img src="images/mini_clijx_logo.png" width="18" height="18"/><img src="images/mini_empty_logo.png" width="18" height="18"/><a href="https://clij.github.io/clij2-docs/reference_outOfIntensityRange">outOfIntensityRange (Experimental)</a>  
+### <img src="images/mini_empty_logo.png" width="18" height="18"/><img src="images/mini_clij2_logo.png" width="18" height="18"/><img src="images/mini_clijx_logo.png" width="18" height="18"/><img src="images/mini_empty_logo.png" width="18" height="18"/><a href="https://clij.github.io/clij2-docs/reference_outOfIntensityRange">outOfIntensityRange</a>  
 Sets all pixels to 1 if their intensity lies out of a given range, and 0 otherwise.
 
 <a name="P"></a>
@@ -410,13 +413,13 @@ Takes a binary image, labels connected components and dilates the regions using
 ### <img src="images/mini_empty_logo.png" width="18" height="18"/><img src="images/mini_clij2_logo.png" width="18" height="18"/><img src="images/mini_clijx_logo.png" width="18" height="18"/><img src="images/mini_empty_logo.png" width="18" height="18"/><a href="https://clij.github.io/clij2-docs/reference_voronoiOctagon">voronoiOctagon</a>  
 Takes a binary image and dilates the regions using a octagon shape until they touch. 
 
-### <img src="images/mini_empty_logo.png" width="18" height="18"/><img src="images/mini_empty_logo.png" width="18" height="18"/><img src="images/mini_clijx_logo.png" width="18" height="18"/><img src="images/mini_cle_logo.png" width="18" height="18"/><a href="https://clij.github.io/clij2-docs/reference_voronoiOtsuLabeling">voronoiOtsuLabeling (Experimental)</a>  
-Applies two Gaussian blurs, spot detection, Otsu-thresholding and Voronoi-labeling. The thresholded binary image is flooded using the Voronoi approach starting from the found local maxima. Noise-removal sigma for spot detection and thresholding can be configured separately.
+### <img src="images/mini_empty_logo.png" width="18" height="18"/><img src="images/mini_clij2_logo.png" width="18" height="18"/><img src="images/mini_clijx_logo.png" width="18" height="18"/><img src="images/mini_cle_logo.png" width="18" height="18"/><a href="https://clij.github.io/clij2-docs/reference_voronoiOtsuLabeling">voronoiOtsuLabeling</a>  
+Labeles objects directly from grey-value images.
 
 <a name="W"></a>
 
 ## W
 ### <img src="images/mini_empty_logo.png" width="18" height="18"/><img src="images/mini_clij2_logo.png" width="18" height="18"/><img src="images/mini_clijx_logo.png" width="18" height="18"/><img src="images/mini_empty_logo.png" width="18" height="18"/><a href="https://clij.github.io/clij2-docs/reference_watershed">watershed</a>  
 Apply a binary watershed to a binary image and introduces black pixels between objects.
 
-118 methods listed.
+119 methods listed.

reference__binary.md

@@ -86,7 +86,7 @@ Transforms a spots image as resulting from maximum/minimum detection in an image
 <a name="V"></a>
 
 ## V
-### <img src="images/mini_empty_logo.png" width="18" height="18"/><img src="images/mini_empty_logo.png" width="18" height="18"/><img src="images/mini_clijx_logo.png" width="18" height="18"/><img src="images/mini_cle_logo.png" width="18" height="18"/><a href="https://clij.github.io/clij2-docs/reference_voronoiOtsuLabeling">voronoiOtsuLabeling (Experimental)</a>  
-Applies two Gaussian blurs, spot detection, Otsu-thresholding and Voronoi-labeling. The thresholded binary image is flooded using the Voronoi approach starting from the found local maxima. Noise-removal sigma for spot detection and thresholding can be configured separately.
+### <img src="images/mini_empty_logo.png" width="18" height="18"/><img src="images/mini_clij2_logo.png" width="18" height="18"/><img src="images/mini_clijx_logo.png" width="18" height="18"/><img src="images/mini_cle_logo.png" width="18" height="18"/><a href="https://clij.github.io/clij2-docs/reference_voronoiOtsuLabeling">voronoiOtsuLabeling</a>  
+Labeles objects directly from grey-value images.
 
 18 methods listed.