scholarly journals A new image processing strategy for surface crack identification in building structures under non‐uniform illumination

2021 ◽  
Author(s):  
Ahmad Mahdian Parrany ◽  
Mohsen Mirzaei
Keyword(s):  
Image Processing ◽  
Surface Crack ◽  
Crack Identification ◽  
Building Structures ◽  
Processing Strategy ◽  
Uniform Illumination

scholarly journals Cement Pavement Surface Crack Detection Based on Image Processing

2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Hongwei Lei ◽  
Jianlian Cheng ◽  
Qi Xu
Keyword(s):  
Image Processing ◽  
Laplace Operator ◽  
Image Recognition ◽  
Surface Crack ◽  
Iteration Method ◽  
Crack Detection ◽  
Binary Image ◽  
Threshold Method ◽  
Otsu Method ◽  
Pavement Crack Detection

This article introduces the application of image recognition technology in cement pavement crack detection and put forward to method for determining threshold about grayscale stretching. the algorithm is designed about binarization which has a self-adaptive characteristic. After the image is preprocessed, we apply 2D Wavelet and Laplace operator to process the image. According to the characteristic of pixel of gray image, an algorithm designed on binarization for Binary image. The feasibility of this method can be verified the image processed by comparing with the results of three algorithms: Otsu method, iteration method and fixed threshold method.

scholarly journals Detection of Surface Crack in Building Structures Using Image Processing Technique with an Improved Otsu Method for Image Thresholding

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Nhat-Duc Hoang
Keyword(s):  
Image Processing ◽  
Crack Detection ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Structural Safety ◽  
Building Structures ◽  
Adjustment Method ◽  
Building Management ◽  
Otsu Method ◽  
Gray Intensity

The detection of cracks is a crucial task in monitoring structural health and ensuring structural safety. The manual process of crack detection is painstakingly time-consuming and suffers from subjective judgments of inspectors. This study establishes an intelligent model based on image processing techniques for automatic crack recognition and analyses. In the new model, a gray intensity adjustment method, called Min-Max Gray Level Discrimination (M2GLD), is proposed to preprocess the image thresholded by the Otsu method. The goal of this gray intensity adjustment method is to meliorate the accuracy of the crack detection results. Experimental results point out that the integration of M2GLD and the Otsu method, followed by other shape analysis algorithms, can successfully detect crack defects in digital images. Therefore, the constructed model can be a useful tool for building management agencies and construction engineers in the task of structure maintenance.

A New Approach for an Efficient DTW in Face Detection through Eyes Localization

1970 ◽  
Vol 108 (2) ◽  
pp. 103-108
Author(s):  
S. Adwan ◽  
H. Arof
Keyword(s):  
Image Processing ◽  
Face Detection ◽  
Dynamic Time Warping ◽  
Weighting Scheme ◽  
Detection Accuracy ◽  
Processing Strategy ◽  
Time Warping ◽  
New Approach ◽  
Innovative Method ◽  
Dynamic Time

This paper presents an innovative method of face detection by supplementing dynamic time warping algorithm with proposed image processing strategy and weighting scheme. Using our proposed approach overcomes some of the shortcomings in applying dynamic time warping for face detection, hence improving the performance and detection accuracy. The results presented and discussed in this paper show the efficacy of our approach in using DTW for face detection. Ill. 16, bibl. 16, tabl. 1 (in English; abstracts in English and Lithuanian).http://dx.doi.org/10.5755/j01.eee.108.2.154

An Image-Processing Strategy for the Segmentation and Quantification of Microaneurysms in Fluorescein Angiograms of the Ocular Fundus

1996 ◽  
Vol 29 (4) ◽  
pp. 284-302 ◽  
Author(s):  
Timothy Spencer ◽  
John A. Olson ◽  
Kenneth C. McHardy ◽  
Peter F. Sharp ◽  
John V. Forrester
Keyword(s):  
Image Processing ◽  
Processing Strategy ◽  
Ocular Fundus

scholarly journals Concrete Crack Identification Using a UAV Incorporating Hybrid Image Processing

Sensors ◽  
2017 ◽  
Vol 17 (9) ◽  
pp. 2052 ◽  
Author(s):  
Hyunjun Kim ◽  
Junhwa Lee ◽  
Eunjong Ahn ◽  
Soojin Cho ◽  
Myoungsu Shin ◽  
...  
Keyword(s):  
Image Processing ◽  
Crack Identification ◽  
Concrete Crack

Identification of Surface Crack in Steel Rods Using Wavelet Transform Modulus Maximum on Vibration Mode

2014 ◽  
Vol 532 ◽  
pp. 457-460
Author(s):  
Hong Chun Sun ◽  
Ling Ling Zhang ◽  
Bei Ming Zhao
Keyword(s):  
Surface Crack ◽  
Large Scale ◽  
Damage Identification ◽  
Damage Index ◽  
Crack Identification ◽  
Single Crack ◽  
Time Frequency ◽  
Damage Degree ◽  
Modulus Maximum ◽  
Wavelet Transform Modulus Maximum

The traditional identification method of surface crack has some shortcomings such as detection equipment complex, high requirements for operator and not suitable for large-scale structure inspection, vibration method is applied to identify surface crack in steel rods in this paper, using the method of calculating modal analysis combined with time-frequency wavelet analysis. The research on damage identification is performed on steel rods with different deep crack. The research results show that the accurate damage location can be judged by wavelet modulus maximum and the quantitative analysis of single crack identification can be achieved by constructing mathematical expressions of a single crack damage degree and damage index Lipschitz index. The research would province some guidance for engineering applications.

Sign in / Sign up

Export Citation Format

Share Document