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ee.Kernel.laplacian4

AI-generated Key Takeaways

The ee.Kernel.laplacian4() function generates a 3x3 Laplacian-4 edge-detection kernel.
The magnitude argument can be used to scale the kernel values, and the normalize argument can be used to normalize the kernel values to sum to 1.
Examples are provided for using the ee.Kernel.laplacian4() function in both the Earth Engine Code Editor (JavaScript) and a Colab notebook (Python).

Generates a 3x3 Laplacian-4 edge-detection kernel.

Usage	Returns
`ee.Kernel.laplacian4( magnitude , normalize )`	Kernel

Argument	Type	Details
`magnitude`	Float, default: 1	Scale each value by this amount.
`normalize`	Boolean, default: false	Normalize the kernel values to sum to 1.

Examples

Code Editor (JavaScript)

 print 
 ( 
 'A Laplacian-4 kernel' 
 , 
  
 ee 
 . 
 Kernel 
 . 
 laplacian4 
 ()); 
 /** 
 * Output weights matrix 
 * 
 * [0,  1, 0] 
 * [1, -4, 1] 
 * [0,  1, 0] 
 */

Python setup

See the Python Environment page for information on the Python API and using geemap for interactive development.

 import 
  
 ee 
 import 
  
 geemap.core 
  
 as 
  
 geemap

Colab (Python)

 display 
 ( 
 'A Laplacian-4 kernel:' 
 , 
 ee 
 . 
 Kernel 
 . 
 laplacian4 
 ()) 
 #  Output weights matrix 
 #  [0,  1, 0] 
 #  [1, -4, 1] 
 #  [0,  1, 0]

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AI-generated Key Takeaways

Examples

Code Editor (JavaScript)

Colab (Python)

ee.Kernel.laplacian4