Adaptive threshold edge detection algorithm based on canny

Abstract

The invention discloses an adaptive threshold edge detection algorithm based on canny. The adaptive threshold edge detection algorithm based on canny includes that firstly, carrying out Gaussian smoothing on an image, calculating the corresponding gradient, and restraining the maximum value of a gradient map; calculating to obtain a statistical histogram of the gradient map according to the detected gradient size, expressing gradient background according to the histogram information, and calculating to obtain the high threshold and low threshold of the gradient map to obtain a strong edge map and a weak edge map; using the edge point of the strong edge map as a central point to compare the edge information of the field edge point and the corresponding position in the weak edge map to connect strong and weak edges. Compared with a traditional method which sets the proportion of the strong edge as a fixed value and a method which obtains the high threshold through an inter-class maximum-variance algorithm and obtains the low threshold through multiplying the high threshold by a fixed proportion, based on keeping the low complexity and high edge quality of the original canny method, the adaptive threshold edge detection algorithm based on canny further improves the edge continuity and precision, is more suitable for extracting the main outline, and provides basis for the subsequent high-precision target detection and target division.

Description

technical field [0001] The invention relates to an edge extraction method, in particular to an edge detection algorithm based on a direction canny adaptive threshold, belonging to the field of digital image processing. This method realizes the extraction of the main contour of the gray image, and the obtained image achieves a good target segmentation effect, improves the accuracy of the edge extraction of the existing algorithm, enhances the continuity of the image edge, and achieves the performance of the algorithm and the target The balance of segmentation can be widely used in various image processing and target detection and tracking systems. Background technique [0002] The edge of the image is one of the most basic features of the image, and the detection of the edge of the image is also a key technology in the field of image processing and pattern recognition. The edge in a digital image refers to the part of the image where the local gray level changes significantl...

AI Technical Summary

Problems solved by technology

However, the ratio of the high and low thresholds of the traditional Canny operator is fixed and artificially determined, resulting in limitations in the application of the Canny operator.

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