Pavement crack recognition algorithm method and system based on dual-scale clustering algorithm

A technology of pavement cracks and clustering algorithm, which is applied in character and pattern recognition, calculation, computer parts, etc., can solve the problem of location and detection of areas without cracks, etc., to achieve easy-to-use mathematical technology analysis, simple algorithm calculation, and overcome labor intensity big effect

Inactive Publication Date: 2015-05-20
CHANGAN UNIV
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At the same time, as far as pavement crack detection is concerned, clustering algorithms are rarely used in this field, and the only o

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  • Pavement crack recognition algorithm method and system based on dual-scale clustering algorithm

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[0059] see Figure 1-Figure 3 , the pavement crack recognition algorithm based on the dual-scale clustering algorithm of the present invention specifically includes the following steps:

[0060] Step 1: The computer reads the 3D image data matrix, and uses the median filter algorithm to filter the 3D image data matrix to obtain the filtered 3D image data matrix, then converts it into a grayscale image, and uses the grayscale image The Otsu algorithm performs binarization processing to obtain a binarized image;

[0061] In this step, the use of the median filter algorithm has low requirements on the smoothness of the data, so it is suitable for the processing of staggered data in the present invention, thereby improving the operation speed. At the same time, the Otsu algorithm is an adaptive threshold algorithm with a high degree of automation.

[0062] Step 2: In the order from top to bottom and from left to right, use the eight-neighborhood search algorithm to scan the data...

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Abstract

The invention discloses a pavement crack recognition algorithm method and system based on dual-scale clustering algorithm. The pavement crack recognition algorithm method includes steps of reading a three-dimensional image data matrix to obtain a binary image by a computer; scanning a data matrix corresponding to the binary image to obtain a marked crack area by an eight-neighborhood search algorithm according to the sequence from top to bottom, left to right; clustering cracks by the dual-scale clustering algorithm to obtain the clustered crack area; utilizing the minimum circumscribed ellipse where the clustered crack area is located as pavement cracks. The pavement crack recognition algorithm method is low in complexity, short in operation time and free of manual involvement. Disordered crack data is locally linearly fitted, model-established theory is indicated by a regular and certain mathematical expression, and data processing complexity is lowered; detection of the pavement cracks can be completed by inputting and acquiring pavement crack data only, so that the algorithm is high in detecting efficiency and fast and has a certain research value.

Description

technical field [0001] This patent belongs to the field of road engineering, and in particular refers to a pavement crack identification algorithm based on a dual-scale clustering algorithm. Background technique [0002] The traditional pavement crack recognition technology is to carry out a series of image processing closely on the cracks and continuously optimize the effect to facilitate target extraction, that is, this type of algorithm is mainly dedicated to the extraction of crack features, and rarely considers the actual needs and processing. Whether the subsequent pavement cracks really correspond to the same actual pavement crack. First, the traditional crack feature extraction algorithm makes the preprocessed pavement crack binary image always reduce the actual pavement crack area to varying degrees compared with the original crack, and what's more, after multiple processing, the actual pavement crack area is reduced to a certain extent. Cracks appear to be fractur...

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/285G06F18/23
Inventor 李伟沙爱民孙朝云呼延菊郝雪丽赵海伟苏瑜谢磊金邵娜娜王瑶王翠
Owner CHANGAN UNIV
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