Critical assessment of pavement distress segmentation methods

Journal of Transportation Engineering

Volumn 136, Issue 1, 2010, Pages 11-19

  Tsai, Yi Chang ^a   Kaul, Vivek ^b   Mersereau, Russell M ^b  

^a Georgia Institute of Technology   (United States)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Crack detection; Crack segmentation; Pavement distress

Indexed keywords

ALGORITHM DEVELOPMENT; ATLANTA; COMPUTATION TIME; CRACK POSITION; CRACK SEALING; CRITICAL ASSESSMENT; DATA SETS; DIGITAL RADIOGRAPHY; DISTRESS DETECTION; DYNAMIC OPTIMIZATION; GEORGIA DEPARTMENT OF TRANSPORTATIONS; IMAGE VARIATIONS; INTERSTATE HIGHWAY; LOW SIGNAL-TO-NOISE RATIO; PAVEMENT DISTRESS; PAVEMENT DISTRESS DETECTION; RECOGNITION ALGORITHM; RESEARCH NEEDS; SCORING MEASURES; SEGMENTATION ALGORITHMS; SEGMENTATION METHODS; VARYING LIGHTING;

ALGORITHMS; CRACK DETECTION; HIGHWAY ENGINEERING; PAVEMENTS; RESEARCH; SIGNAL TO NOISE RATIO;

IMAGE SEGMENTATION;

ALGORITHM; ASSESSMENT METHOD; CRACK PROPAGATION; DESIGN; DETECTION METHOD; IMAGE ANALYSIS; OPTIMIZATION; PAVEMENT; QUANTITATIVE ANALYSIS; RADIOGRAPHY; SEALING; SEGMENTATION; SIGNAL-TO-NOISE RATIO; STRUCTURAL ANALYSIS;

ATLANTA; GEORGIA; UNITED STATES;

EID: 77950944780     PISSN: 0733947X     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)TE.1943-5436.0000051     Document Type: Article

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