Publicación: IDENTIFICATION OF DEFECTIVE CORE IN PRUNED PINUS RADIATA LOGS FROM CT IMAGES USING THE MAXIMUM LIKELIHOOD CLASSIFIER
Fecha
2009
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MADERAS: CIENCIA Y TECNOLOGIA
Resumen
THIS STUDY AIMS TO IDENTIFY THE DEFECTIVE CORE ON COMPUTED TOMOGRAPHY IMAGES (CT) OF PRUNED
RADIATA PINE LOGS, USING AN ALGORITHM OF SUPERVISED CLASSIFICATION. THE CLASSIFICATION PROCESS WAS REQUIRED TO IDENTIFY AND SEPARATE THE DEFECTIVE CORE FROM THE FREE DEFECT PART AND KNOTS. TEN PRUNED RADIATA PINE LOGS WERE SCANNED INTO A MEDICAL X-RAY MULTI-SLICE PHILIPS SCANNER AND THE RESULTING CT IMAGES AT 5 MM. WERE OBTAINED. A TOTAL AMOUNT OF 270 CT IMAGES WERE CLASSIFIED UNDER WITH THE MAXIMUM LIKELIHOOD CLASSIFIER AND THE RESULTING THEMATIC MAPS WERE FILTERED WITH A MEDIAN FILTER OF 7 X 7. THEN,
90 THEMATIC MAPS WERE SELECTED AND USED TO ASSESS THE ACCURACY OF THE CLASSIFICATION PROCESS.
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X-ray, radiata pine., Maximum Likelihood, Defective Core, Confusion Matrix
