A Z-shaped nonlinear transform for image segmentation and classification in intelligent debris analysis

TitleA Z-shaped nonlinear transform for image segmentation and classification in intelligent debris analysis
Publication TypeConference Paper
Year of Publication1998
AuthorsDumitras, A., A. Jerbi, F. Kossentini, and D. Liew
Conference NameImage Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
Pagination313 -317 vol.3
Date Publishedoct.
Keywordsdownsampled segmented image, experimental results, illumination conditions, image classification, image sampling, image segmentation, intelligent debris analysis, memory resources, time resources, wear, wear particles, Z transforms, Z-shaped nonlinear transform
Abstract

In intelligent debris analysis, the large number of images to be processed requires significant time and memory resources. Moreover, image segmentation is difficult due to inconsistent illumination conditions. To address these problems, we propose a Z-shaped nonlinear transform for preprocessing that allows us to simultaneously obtain (a) a downsampled segmented image and (b) two novel features to be used for classification. Experimental results using a set of 93 wear particles show that our proposed method is efficient

URLhttp://dx.doi.org/10.1109/ICIP.1998.727206
DOI10.1109/ICIP.1998.727206

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