JOURNAL ARTICLE

Improved Self-Adaptive Edge Detection Method Based on Canny

Abstract

The premise of obtaining the clear object contour in traditional Canny operator is to set appropriate parameters, does not have the adaptive ability. An adaptive Canny edge-detection method is proposed which Based on Canny theory. Adopt the 3*3 neighborhood instead of Canny algorithm in 2*2 neighborhood to calculate the calculation gradient. Then, the maximum between-class variance (Otsu) method is used to obtain the high and low thresholds. Experiments show that, this algorithm can get good edge detection.

Keywords:
Canny edge detector Deriche edge detector Image gradient Artificial intelligence Edge detection Computer science Pattern recognition (psychology) Otsu's method Computer vision Enhanced Data Rates for GSM Evolution Mathematics Algorithm Image (mathematics) Image segmentation Image processing

Metrics

42
Cited By
2.60
FWCI (Field Weighted Citation Impact)
8
Refs
0.92
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Image and Object Detection Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Medical Image Segmentation Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Industrial Vision Systems and Defect Detection
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering

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