ee.Kernel.laplacian8

  • ee.Kernel.laplacian8() generates a 3x3 Laplacian-8 edge-detection kernel.

  • The kernel can be scaled using the magnitude argument and normalized using the normalize argument.

  • The default output weights matrix is [[1, 1, 1], [1, -8, 1], [1, 1, 1]] .

Generates a 3x3 Laplacian-8 edge-detection kernel.
Usage Returns
ee.Kernel.laplacian8( 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-8 kernel' 
 , 
  
 ee 
 . 
 Kernel 
 . 
 laplacian8 
 ()); 
 /** 
 * Output weights matrix 
 * 
 * [1,  1, 1] 
 * [1, -8, 1] 
 * [1,  1, 1] 
 */ 

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-8 kernel:' 
 , 
 ee 
 . 
 Kernel 
 . 
 laplacian8 
 ()) 
 #  Output weights matrix 
 #  [1,  1, 1] 
 #  [1, -8, 1] 
 #  [1,  1, 1] 
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