Automated assessment tool for the depth of pipe deterioration

2009 IEEE International Advance Computing Conference, IACC 2009

Volumn , Issue , 2009, Pages 721-724

  Swarnalatha, P ^a   Kota, Madhuri ^a   Reddy, Nagarjuna Resu ^a   Srivasanth, G ^a  

^a VIT UNIVERSITY   (India)

Author keywords

Contrast stretching; Histogram equalization; Image enhancement; Image segmentation and feature extraction

Indexed keywords

AUTOMATED ASSESSMENT; BURIED PIPES; CLASSIFICATION ,; CONTRAST STRETCHING; DETECTION OF DEFECTS; HISTOGRAM EQUALIZATION; HUMAN EYE; PIPE DEFECTS; PIPE DETERIORATION; STEP METHOD; STRUCTURAL ELEMENTS; UNDERGROUND PIPELINE; UNDERGROUND PIPES; WATER MAINS;

CONCRETE PIPE; DEFECTS; DETERIORATION; DIGITAL IMAGE STORAGE; FEATURE EXTRACTION; IMAGE ENHANCEMENT; IMAGE SEGMENTATION; PIPELINES;

PIPE;

EID: 66249145054     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IADCC.2009.4809101     Document Type: Conference Paper

References (4)

1. Osama Moselhi, Tariq Shehab-Eldeen, Automated detection of surface defects in water and sewer pipes, Automation in Construction 8(1999) 581-588. (Pubitemid 29375710)
2. S.K. Sinha, P.W. Fieguth, Segmentation of buried concrete pipe images, Automation in Construction 15(2006) 47-57. (Pubitemid 41436345)
3. Sunil K.Sinha, Paul W. Fieguth, Automated detection of cracks in buried concrete pipe images, Automation in Construction 15(2006) 58-72. (Pubitemid 41436346)
4. Sunil K. Sinha, Paul W. Fieguth, Morphological segmentation and classification of underground pipe images, Machine Vision and Applications (2006) 17(1); 21-31.