RegionGrow

Disponible avec une licence Image Analyst.

Disponible avec une licence Spatial Analyst.

Synthèse

Groups adjacent pixels depending on the specified radius from the seed point.

Discussion

For more information about how this function works, see the Region Grow raster function.

The referenced raster dataset for the raster object is temporary. To make it permanent, you can call the raster object's save method.

Syntaxe

RegionGrow (raster, seed_points, max_growth_radius_field, similarity_threshold_field, {fill_value_field})

Paramètre	Explication	Type de données
raster	The input raster.	Raster
seed_points	The point feature class, serving as the initial seeds for the algorithm. Each seed point corresponds to one entry in the attribute table, which includes values for the maximum growth radius, similarity threshold, and an optional fill value.	String
max_growth_radius_field	The field in the attribute table that defines the maximum growth radius, in the image's spatial reference units.	String
similarity_threshold_field	The field that defines the similarity threshold, as Euclidean distance in spectral space.	String
fill_value_field	The field that defines the fill value for the group of pixels formed from each seed point. In a multiband image, all bands will be assigned this value. (La valeur par défaut est None)	String

Valeur renvoyée

Type de données	Explication
Raster	The output raster.

Exemple de code

RegionGrow example

Groups adjacent pixels based on the input seed points and assigns fill values for each group of pixels.

from arcpy.ia import *
out_regiongrow_raster = RegionGrow("mlc.tif", "seeds.shp",
                                   "radius", "similarity")
out_regiongrow_raster.save(
    "C:/arcpyExamples/outputs/Multispectral_Landsat_grow.crf")

RegionGrow example

Groups adjacent pixels based on the input seed points and assigns fill values for each group of pixels.

# Import system modules
import arcpy

# Check out the ArcGIS Image Analyst extension license
arcpy.CheckOutExtension("ImageAnalyst")

# Set the local variables
raster = "C:/data/Multispectral_Landsat.tif"
seed_points = "C:/data/seed_point.shp"
max_growth_radius_field = "radius"
similarity_threshold_field = "similarity"
fill_value_field = "fill"

# Apply RegionGrow function
classified_raster = arcpy.ia.RegionGrow(raster, seed_points, max_growth_radius_field, similarity_threshold_field, fill_value_field)

# Save the output
classified_raster.save("C:/arcpyExamples/outputs/Multispectral_Landsat_grow.crf")