Study of Region Segmentation Method for Highway Pavement Distress Image

Xiang Gang Hua; Shi Qing Wang; Jing Li

doi:10.4028/www.scientific.net/AMM.182-183.396

Paper Titles

Intra 4*4 Mode Architecture Design in H.264/AVC Intra Prediction
p.378

The Artificial Intelligence in the Ammunition Film in the Research on the Application of Drying Stove
p.383

The Improvement of the Performence of Microstrip Leaky-Wave Antenna Based on Symmetrical CRLH-TL
p.388

LabVIEW-Based Data Acquisition System for Loom Performance Assessment
p.392

Study of Region Segmentation Method for Highway Pavement Distress Image
p.396

A SMS Based LED Electronic Display System
p.401

Scheduling a Continuous Casting Batch Machine with Flexible Jobs to Minimize Setup Costs
p.406

High-Power LED Constant Current Dimming Circuit Design
p.411

Eddy Current Testing Sensor Design and Comparative Experiment Study Based on Amorphous Alloy
p.416

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 182-183Study of Region Segmentation Method for Highway...

Study of Region Segmentation Method for Highway Pavement Distress Image

Abstract:

The paper analyzes the Region Partitioning Method of highway pavement distress image and gives a new region partitioning method and its specific operation steps.

You might also be interested in these eBooks

Applied Mechanics and Mechatronics Automation

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 182-183)

Pages:

396-400

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.182-183.396

Citation:

Cite this paper

Online since:

June 2012

Authors:

Xiang Gang Hua, Shi Qing Wang, Jing Li

Keywords:

Image, Pavement Distress, Region Segmentation

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Desheng Fu, Yihe Shou, Study of Diagram and Image Processing, NanJing: Southeast University Press.

Google Scholar

[2] Ailing Ding, Licheng Jiao, Pavement Distress Recognition Based On Support Vector Machine, Chang'an University Journal(Natural Science Version), Second Period, (2007).

Google Scholar

[3] Rongben Wang, Chao Wang, Xiumin Chu, Study Progress Of Image Recognition of Pavement Distress, JiLin University Journal(Engineering Version), Fourth Period, (2002).

Google Scholar

[4] Guoyan Li Pavement Distress Recognition Base On Images, Master's Thesis of Hebei University of Technology, (2008).

Google Scholar

[5] Kelvin C.P. Wang, Application of AASHTO Interim Protocol to Automated Pavement Distress Survey, Pavement Performance Data Analysis Forum, (2003).

Google Scholar