6533b85dfe1ef96bd12bf143

RESEARCH PRODUCT

Real-time flaw detection on complex part: Study of SVM and hyperrectangle based method

Johel MiteranS. BouillantMichel PaindavoineEl-bay Bourennane

subject

Support vector machineHyperrectangleComputer sciencebusiness.industryFrame (networking)Feature extractionPerspective (graphical)Pattern recognitionArtificial intelligenceMachine learningcomputer.software_genrebusinesscomputer

description

We present in this paper the study of two classifications methods used in order to control in real-time some industrials parts. We present the practical frame in which is made the operations, natures of the anomaly to be detected as well as the features extractions method. We tested two techniques of classification, with different algorithm complexities and performances. We compare the results obtained on various features spaces. We end by a combinatorial perspective of results of classification.

yearjournalcountryeditionlanguage
2002-05-01IEEE International Conference on Acoustics Speech and Signal Processing
https://doi.org/10.1109/icassp.2002.5745433