cr-sparse
Navigation
Contents:
Quick Start
Introduction
Tutorials
API Docs
Linear Operators
Sparse Linear Systems
Sparsifying Dictionaries and Sensing Matrices
Greedy Sparse Recovery
L1 Minimization
Optimization
First Order Methods
Compressive Sensing
Data Clustering
Sparse Subspace Clustering
Sample Data Generation Utilities
Geophysical Signal Processing
Computer Vision and Image Processing
Evaluation Framework
Algorithms
Theory
Examples Gallery
References
Development
Related Topics
Documentation overview
API Docs
Computer Vision and Image Processing
Previous:
cr.sparse.vision.KERNEL_SOBEL_X
Next:
Evaluation Framework
Quick search
cr.sparse.vision.KERNEL_SOBEL_Y
¶
cr.sparse.vision.
KERNEL_SOBEL_Y
=
DeviceArray([[-1,
-2,
-1],
[
0,
0,
0],
[
1,
2,
1]],
dtype=int32)
¶