Edge detection network optimization method, and pavement disease identification method and system

Abstract

The embodiment of the invention discloses an edge detection network optimization method, a pavement disease identification method and a pavement disease identification system. An edge detection network is used for identifying the specified pavement disease. The optimization method comprises the steps of segmenting each sample pavement picture into a plurality of first grids; obtaining a first matrix corresponding to each sample pavement picture according to the fact whether the first grids possess the specified pavement disease; inputting each sample pavement picture to the edge detection network for identification of the specified pavement disease, and outputting a second matrix corresponding to each sample pavement picture; calculating to obtain a loss function of each sample pavement picture according to vectors of the first matrix and the second matrix corresponding to each sample pavement picture; and optimizing a network parameter of the edge detection network until the second matrix output by the edge detection network with optimized network parameter makes an arithmetic average value of the calculated loss functions of all sample pavement pictures minimum. According to theembodiment, an identification result of the edge detection network is accurate and efficient.

Description

technical field [0001] The invention relates to the technical field of road surface disease identification, in particular to an optimization method of an edge detection network, a road surface disease identification method and a system. Background technique [0002] Based on the needs of road maintenance management, the rapid detection and identification of pavement diseases is an important basic work for pavement performance evaluation. The application of automatic and rapid pavement detection equipment replaces the traditional manual detection method, realizes high-definition pavement pictures taken at the speed of traffic flow, and greatly improves the collection efficiency of pavement disease pictures. At present, the common pavement defect automatic identification method based on pattern recognition has problems such as relying on manual experience to adjust parameters and low operating accuracy under complex pavement conditions. For example, the existing method analyz...

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Problems solved by technology

[0003] The embodiment of the present invention provides an optimization method of an edge detection network, a method and a system for identifying road surface diseases, so as to solve the problem of low accuracy of the method for identifying road surface diseases in the prior art

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