Title :
Lossless Compression of Pipeline Magnetic Flux Leakage Inspection Data Based on Region of Interest
Author :
Yang, Lijian ; Ma, Fengming ; Gao, Songwei
Author_Institution :
Sch. of Inf. Sci. & Eng., Shenyang Univ. of Technol.
Abstract :
A pipeline MFL (magnetic flux leakage) inspection device with high resolution generates a great deal of data, so it is necessary to compress the real-time data. The characteristics of MFL inspection data was analyzed, the inspection data was preprocessed to eliminate the effect of sensor lift-off and the preprocessed MFL image was segmented to ensure the ROI (region of interest). Integer wavelet transform was applied to the ROI and wavelet coefficient which was lifted by the max shift method and combined with SPIHT (set partitioning in hierarchical tree) code algorithm realizes the lossless compression of MFL image ROI and compression ratio is over 8:1
Keywords :
data compression; image coding; image segmentation; magnetic flux; magnetic leakage; wavelet transforms; MFL image segmentation; SPIHT code algorithm; compression ratio; hierarchical tree; integer wavelet transform; lossless compression; max shift method; pipeline MFL inspection device; pipeline magnetic flux leakage inspection data; sensor lift-off; set partitioning; wavelet coefficient; Data analysis; Image analysis; Image coding; Image sensors; Inspection; Magnetic analysis; Magnetic flux leakage; Magnetic sensors; Pipelines; Sensor phenomena and characterization; MFL (Magnetic Flux Leakage); ROI (Region of Interest); SPIHT(Set Partitioning in Hierarchical Tree); lifting scheme;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1713351
