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Consistency-based edge detection method

An edge detection and consistency technology, applied in the field of image processing, can solve the problems of reducing the amount of calculation, to achieve the effect of reducing the amount of calculation, improving the effect of edge extraction, and ensuring the positioning accuracy

Inactive Publication Date: 2015-01-07
BEIHANG UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to solve the above problems, and propose a method of edge detection based on consistency, which better solves the coordination problem of edge detection accuracy and anti-noise performance, and greatly reduces the amount of calculation, improves the speed, and is more efficient. Meet the needs of practical engineering

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Embodiment Construction

[0026] The present invention will be further described in detail with reference to the accompanying drawings and embodiments.

[0027] In the existing edge detection algorithm, it is difficult for the traditional algorithm to take into account the shortcomings of noise suppression and complete and accurate edge positioning at the same time, while the emerging algorithm is prone to false edges and takes a long time to calculate. The present invention utilizes the characteristics of gray scale gradients on both sides of the real edge, and proposes an index describing the consistency of the gradient direction, evaluates the possibility of the edge by the direction consistency of the gray scale change of adjacent pixels at the edge, and based on the consistency index Adaptively adjust the gray gradient threshold to effectively distinguish real edges and noise interference under high gray gradients, and at the same time achieve effective detection of weak gray gradient edges with be...

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Abstract

The invention discloses a consistency-based edge detection method. The consistency-based edge detection method comprises the steps of (1) utilizing the image gray scale gradient magnitude for screening out an initial edge set, (2) calculating an image gray scale gradient direction sum, (3) extracting the edge set according to the gradient direction sum, and (4) conducting edge refining. According to the consistency-based edge detection method, the index of the gray scale gradient direction sum is introduced, the correlation of the gray scale gradient directions near edges is utilized for analyzing the edge occurrence rationality, the new imaging noise determination method is provided, gray scale gradient changes caused by actual edges and noise can be effectively distinguished, and the edge extracting effect can be improved by combining the index with other methods.

Description

technical field [0001] The invention belongs to the technical field of image processing, relates to a consistency-based edge detection method, and belongs to an image edge detection method. Background technique [0002] The edge refers to the boundary line between the target and the background and the boundary line between the target and the target in the image. The edge detection of the image retains the important structural characteristics of the image and eliminates irrelevant information, which is of great significance for the recognition or description of the target. Edge detection is the most basic tool in image processing applications such as pattern recognition, robot vision, image segmentation, feature extraction, and image compression. [0003] The edge of the image is usually the singular point and abrupt point of the gray function of the image. If the gray level change is used as the basis of edge detection, the edge can be extracted according to the image grad...

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T7/13
Inventor 张海杨飞菲
Owner BEIHANG UNIV
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