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

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...

AI Technical Summary

Problems solved by technology

At the same time, as far as pavement crack detection is concerned, clustering algorithms are rarely used in this field, and the only ones that should be limited are limited to the segmentation of pavement crack images, and there is no detection of crack area location.

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