Statements (56)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:video_editing_software
|
| gptkbp:applies_to |
non-maximum suppression
|
| gptkbp:developed_by |
John F. Canny
|
| https://www.w3.org/2000/01/rdf-schema#label |
Canny edge detector
|
| gptkbp:improves |
edge detection quality
|
| gptkbp:input_output |
binary image
|
| gptkbp:is_based_on |
gradient direction
gradient magnitude |
| gptkbp:is_compared_to |
Laplacian of Gaussian
Prewitt operator Sobel operator |
| gptkbp:is_discussed_in |
gptkb:Documentation
research articles academic papers online tutorials |
| gptkbp:is_enhanced_by |
pre-filtering
|
| gptkbp:is_evaluated_by |
precision and recall
|
| gptkbp:is_implemented_in |
gptkb:MATLAB
gptkb:Java gptkb:C++ gptkb:Python gptkb:Open_CV |
| gptkbp:is_known_for |
low error rate
good localization single edge response |
| gptkbp:is_part_of |
image segmentation
image analysis techniques computer vision techniques computer vision pipeline image processing workflow |
| gptkbp:is_related_to |
gptkb:machine_learning
deep learning pattern recognition feature detection image filtering image enhancement image gradients edge linking |
| gptkbp:is_taught_in |
computer science courses
engineering courses |
| gptkbp:is_used_in |
gptkb:medical_imaging
gptkb:vehicles gptkb:robotics image processing computer vision real-time applications object detection feature extraction image analysis |
| gptkbp:requires |
two threshold values
|
| gptkbp:sensitivity |
noise
|
| gptkbp:uses |
Gaussian filter
|
| gptkbp:utilizes |
hysteresis thresholding
|
| gptkbp:year_created |
gptkb:1986
|
| gptkbp:bfsParent |
gptkb:John_Canny
|
| gptkbp:bfsLayer |
6
|