Synopsis
Make contour regions from a 2-D image
Syntax
dmcontour infile levels outfile [verbose] [clobber]
Description
`dmcontour' allows the user to generate a region file from a 2-dimensional image that can be used to subsequently filter their data from contour levels in an input image. A virtual image file created from a table file with dm syntax can be used.
The region filters are created such that they include the contour level and everything above it -- including possibly other contour levels. Only closed contours will generate regions.
For best results users should smooth their image prior to running dmcontour. The actual region will be a polygon approximation to the contour.
If the input image has a physical coordinate system (e.g. a binned Chandra event file), the output is in the physical coordinates of the image. This makes using the file as a filter for event lists/tables, as well as images which have physical coordinates preserved, easy. If an image that doesn't have physical coordinates (e.g. an optical image) is used to define the contour levels, the output is in logical coordinates. It will be difficult to display these contours on anything other than another image which is congruent to the input image.
NB: The FITS region file produced by dmcontour can be loaded into ds9 directly. However, if you find a display full of excluded regions, you may wish to make a simpler regions version by choosing only one level, e.g. "dmcopy regions.fits[contour_level=10] region10.fits".
Example
dmcontour in_image.fits "1,5,10,20" out_region.fits
Will read in the image, "in_image.fits" and create an output region file that has contour intervals for each of the specified levels.
The output region file will have region filters that will inlcude everything > 1, everything > 5, everything > 10, and everything > 20.
The syntax to use this with another tool (for example to extract a histogram/spectrum) would be:
infile="my_file[sky=region(out_region.fits[contour_level=1])]"
This will filter the "sky" vector column in "my_file" with the contour level = 1 region in the file "out_region.fits"
Parameters
name | type | ftype | def | min | max | units | reqd |
---|---|---|---|---|---|---|---|
infile | file | input | yes | ||||
levels | string | image | yes | ||||
outfile | file | output | yes | ||||
verbose | integer | 0 | 0 | 5 | no | ||
clobber | boolean | no |
Detailed Parameter Descriptions
Parameter=infile (file required filetype=input)
Input file name.
The name of the input file. It can be a table with a DM virtual file specficiation that makes it into an image, eg "[bin ...]"
Parameter=levels (string required units=image)
The contour levels to define regions. Only closed contours will generate regions.
This parameter can either be a stack of values or it can be a grid of values. Examples include
Examples of allowable levels values.
Example | Explanation |
---|---|
value1,value2,...,valueN | comma separated list of contour levels |
value1 value2 ... valueN | space separated list of contour levels |
value1;value2;...;valueN | semicolon separated list of contour levels |
lgrid(value1:value2:value3) | Use the stack "lgrid" to create a linear grid of values from value1 to value2 in steps of value3. |
@levels.lis | The list of values stored in an ASCII stack list file. If the file is in a different directory, then be sure to use "@-" to omit the directory. |
value1:value2:value3 | Generate intervals from value1 to value2 in steps of value3 |
value1:value2:#value3 | Generate intervals from value1 to value2 in value3 number of equal steps |
value1:value2:#value3l | Generate intervals from value1 to value2 in value3 number of logarithmically spaced steps |
value1:value2 | Generate intervals from value1 to value2 in steps of 1. |
:value2:value3 | Generate intervals from min(data) to value2 in steps of value3 |
value1::value3 | Generate intervals from value1 to max(data) in steps of value3. |
::value3 | Intervals from min(data) to max(data) in steps of value3 |
grid(filename[cols colA,colB]) | Retrieve the levels from the input file using the lo/hi values from columns colA and colB. |
When using a grid syntax, the upper range limit value is always used. For example 0:10:3 will generate levels: 0, 3, 6, 9, 10.
Parameter=outfile (file required filetype=output)
Output file name
The name of the output FITS region file.
Parameter=verbose (integer not required default=0 min=0 max=5)
Controls amount of information to print (0-5).
Parameter=clobber (boolean default=no)
Clobber output if it exists? [y/n]
Changes in CIAO 4.15
The parsing of the levels parameter has been updated to match other CIAO tools that handle binning and ranges. This means that the tool may behave differently for certain inputs.
Changes in CIAO 4.17
-
Fix for repeated and blank error messages.
Bugs
There are no known bugs for this tool.
See Also
- concept
- subspace
- dm
- dmfiltering, dmmasks, dmregions
- tools::aspect
- dither_region
- tools::core
- dmappend
- tools::detect
- get_src_region
- tools::gratings
- tg_create_mask
- tools::image
- centroid_map, dmfilth, dmimg2jpg, dmimgadapt, dmimgblob, dmimgcalc, dmimgdist, dmimgfilt, dmimghist, dmimgpick, dmimgpm, dmimgproject, dmimgreproject, dmimgthresh, dmmaskbin, dmmaskfill, dmnautilus, dmradar, dmregrid, dmregrid2, energy_hue_map, evalpos, hexgrid, map2reg, merge_too_small, mkregmap, pathfinder, vtbin
- tools::region
- bkg_fixed_counts, convert_ds9_region_to_ciao_stack, dmellipse, dmgroupreg, dmimghull, dmimglasso, dmmakereg, psf_contour, rank_roi, regphystocel, roi, splitroi
- tools::response
- mean_energy_map, pileup_map
- tools::statistics
- dmstat, imgmoment, statmap