Stretch

Résumé

Enhances an image by changing properties such as brightness, contrast, and gamma through multiple stretch types based on statistics.

Discussion

For more information about how this function works, see the Stretch 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

Stretch (raster, stretch_type, min, max, num_stddev, statistics, dra, {min_percent}, max_percent, {gamma}, {compute_gamma}, sigmoid_strength_level)

Paramètre	Explication	Type de données
raster	The input raster.	Raster
stretch_type [stretch_type,...]	Specify the type of stretch to apply to the image. None —No stretch method will be applied, even if statistics exist. StdDev —Uses the Brovey algorithm based on spectral modeling for data fusion. Requires the number of standard deviations (num_stddev) to be specified, statistics to be computed, or DRA (dra) set to True. Histogram —Apply a histogram equalization stretch. Requires the source dataset to have histograms computed, or DRA set to True. MinMax —Applies a linear stretch based on the output minimum and output maximum pixel values, which are used as the endpoints for the histogram. Requires statistics to be computed, or DRA (dra) to be set to True. PercentClip —Applies a linear stretch between the defined percent clip minimum and percent clip maximum pixel values. Sigmoid —Places all of the pixels in the image along a sigmoid function (an S-shaped curve). (La valeur par défaut est 0)	String
min	Set the lowest pixel value for the output histogram. The output minimum (min) and output maximum (max) will set the range of values that will then be stretched. (La valeur par défaut est None)	Double
max	Set the highest pixel value for the output histogram. The output maximum (max) and output minimum (min) will set the range of values that will then be stretched. (La valeur par défaut est None)	Double
num_stddev	Specify the n value for the number of standard deviations to use. This method is used to emphasize how much feature values vary from the mean value; it is best when used on normally distributed data. (La valeur par défaut est None)	Double
statistics [statistics,...]	By default, the statistics used are retrieved from the data; however, any statistic values you enter in this parameter will be used instead. Statistics are specified as: [[<min>, <max>, <mean>, <standardDeviation>] [<min>, <max>, <mean>, <standardDeviation>] [<min>, <max>, <mean>, <standardDeviation>]] (La valeur par défaut est None)	Double
dra	Calculate statistics from only the pixels displayed on your screen. The statistics parameter is ignored when DRA is True. True—Dynamic Range Adjustment (dra) will be computed. False—Dynamic Range Adjustment (dra) will not be computed. (La valeur par défaut est None)	Boolean
min_percent	Specify the percentage of the low values to exclude when the PercentClip stretch is specified. Valid values range from 0 through 99. (La valeur par défaut est None)	Double
max_percent	Specify the percentage of the high values to exclude when the PercentClip stretch is specified. Valid values range from 0 through 99. (La valeur par défaut est None)	Double
gamma	Specify gamma values for each band to apply to the image. For example, a three-band image would have three values, such as [<gamma1>, <gamma2>, <gamma3>]. (La valeur par défaut est None)	Double
compute_gamma	Calculates the best gamma value to render the exported image based on an empirical model. True—Gamma values for the image are computed. False—Gamma values for the image are not computed. (La valeur par défaut est None)	Boolean
sigmoid_strength_level	Determines how much of the sigmoidal function will be used in the stretch. A low value such as 1 will only use the middle portion of the curve, which tends to produce dull and faint colors. A high value such as 6 will use the entire curve, which tends to produce bold and sharp colors. The valid range is 1 through 6. (La valeur par défaut est None)	Integer

Valeur renvoyée

Type de données	Explication
Raster	The output stretched raster.

Exemple de code

Stretch example

Enhances an image by changing properties such as brightness, contrast, and gamma through multiple stretch types based on statistics.

import arcpy

Stretch_raster = arcpy.ia.Stretch(imagePath1, "PercentClip", None, None, None, None, True, 0.25, 0.75, None, None, None)