Color Filters

The Color Input Filters provide a means to remove annotation and white-space when interpolating color models (e.g., when using the Images -> Solid program) and plotting vertical image pixels as color-coded spheres (e.g., when using the Vertical Images -> XYZC program).  These programs sample the images based on the Project Dimensions.  Specifically; a temporary voxel model is created based on the Project Dimensions.  The voxels within this model are then assigned color values based on the average color for all pixels that are contained within that voxel.  Upon completion, the average colors for all voxels that contain one or more pixels are used as input for the modeling or point plotting.

Example #1 (Images->Solid Program):  The source images (Figure A) contain black annotation and extraneous white that “contaminates” the color model interpolation (Figure B).  Removing these colors produces a more useful model (Figure C).

Example #2 (Images—Solid Program):  The Color Output Filter is used to restrict the output to points within a specified color range.  This example shown below depicts the results when a red output filter with a tolerance of 150 is used to extract selected pixels from the output model.

Example #3 (Images->XYZG):  This example depicts the original images (Figure A) and color-coded spheres depicting the sampled pixels without omitting any colors (Figure B) and color-coded spheres depicting all colors except for black and white (Figure C).  Note how the black pattern symbols, fault polylines, formation contacts, and white “air” within Figure C have been omitted.

Example #4 (Images->XYZG):  The example shown below depicts the results (Figure A) when a red output filter with a tolerance of 150 is used to extract pixels from two images (Figure B).