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Automatic gradient threshold determination for edge detection
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DOI：10.1109/83.499917.png)
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摘要
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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.
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13.7
论文数:
1.0W
被引数:
8.4W
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QUANTITATIVE DESIGN AND EVALUATION OF ENHANCEMENT-THRESHOLDING EDGE DETECTORS.png)
PROCEEDINGS OF THE IEEE
PROCEEDINGS OF THE IEEEIF25.9
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