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Pixel-Based Colour Image Segmentation Using Support Vector Machine for Automatic Pipe Inspection.

, , and . Australian Conference on Artificial Intelligence, volume 4830 of Lecture Notes in Computer Science, page 739-743. Springer, (2007)

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Pixel-Based Colour Image Segmentation Using Support Vector Machine for Automatic Pipe Inspection., , and . Australian Conference on Artificial Intelligence, volume 4830 of Lecture Notes in Computer Science, page 739-743. Springer, (2007)Superpixels, Occlusion and Stereo., , , and . DICTA, page 84-91. IEEE Computer Society, (2011)Image classifier and scene understanding systems of multiagent teams., , , and . SMC, page 1460-1465. IEEE, (2000)An Approach to Enterprise Collaboration through Concurrent Scene Understanding and Interoperation.. AINA Workshops, page 1125-1128. IEEE Computer Society, (2013)Self organising map based region of interest labelling for automated defect identification in large sewer pipe image collections., , , , , and . IJCNN, page 1-8. IEEE, (2012)Automatic Interpretation of Remotely Sensed Images for Urban Form Assessment., , , , and . ICIAR (1), volume 8814 of Lecture Notes in Computer Science, page 441-449. Springer, (2014)Superpixels via pseudo-Boolean optimization., , , and . ICCV, page 1387-1394. IEEE Computer Society, (2011)An Approach to Leak Detection in Pipe Networks Using Analysis of Monitored Pressure Values by Support Vector Machine., , , and . NSS, page 534-539. IEEE Computer Society, (2009)An Approach Using Mathematical Morphology and Support Vector Machines to Detect Features in Pipe Images., , and . DICTA, page 84-89. IEEE Computer Society, (2008)A Neural Markovian Multiresolution Image Labeling Algorithm., , , and . SAI (2), volume 1229 of Advances in Intelligent Systems and Computing, page 367-379. Springer, (2020)