.png){kind=icon}
Return
Automatic gradient threshold determination for edge detection
.png){kind=icon}
PRE
AI
DOI：10.1109/83.499917.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
We describe a method to automatically find gradient thresholds to separate edge from nonedge pixels. A statistical model that is the weighted smm of two gamma densities corresponding to edge and nonedge pixels is used to identify a threshold. Results closely match human perceptual thresholds even under low signal-to-noise ratio (SNR) levels.
Keywords:
ALGORITHM
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
13.7
Papers:
1.0W
Citations:
8.4W
Organization
No organization information available
Cited Papers
ShareSaveQUANTITATIVE DESIGN AND EVALUATION OF ENHANCEMENT-THRESHOLDING EDGE DETECTORS.png)
PROCEEDINGS OF THE IEEE
PROCEEDINGS OF THE IEEEIF25.9
PREAI
ShareSaveShareSaveQuasi-static consideration of high-frequency modes for more efficient flexible multibody simulations
PREAI
ShareSave
View more