Abstract
Algorithm of improved Fuzzy C-Means (FCM) clustering with preprocessing is analyzed and validated in the case of readout segmentation of photochromic optical disks. Characteristic of the readout and its differential coefficient and other knowledge are considered in the method, which makes it more applicable than the traditional FCM algorithm. The crest and trough segments could be divided clearly and the rising and falling edges could be located properly with the improved-FCM-based readout segmentation, which makes RLL encoding/decoding applicable to photochromic optical disks and makes the storage density increased. Further discussion proves the consistency of the segmentation method with PRML, and the improved-FCM-based detection could be regarded as an extension of PRML detection.
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Jian, J., Ma, C., Jia, H. (2005). Improved-FCM-Based Readout Segmentation and PRML Detection for Photochromic Optical Disks. In: Wang, L., Jin, Y. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2005. Lecture Notes in Computer Science(), vol 3613. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539506_65
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DOI: https://doi.org/10.1007/11539506_65
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28312-6
Online ISBN: 978-3-540-31830-9
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