A New Image Segmentation Method Based on Fractional-Varying-Order Differential

In order to solve the problem of image segmentation with intensity inhomogeneity, a new partial differential equation image segmentation model based on fractional-varying-order differen-tial is proposed. This model introduces an adaptive coefficient to set disparate differential order in-tervals for...

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Veröffentlicht in:北京理工大学学报(英文版) 2021-09, Vol.30 (3), p.254-264
Hauptverfasser: Yanshan Zhang, Yuru Tian
Format: Artikel
Sprache:eng
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Zusammenfassung:In order to solve the problem of image segmentation with intensity inhomogeneity, a new partial differential equation image segmentation model based on fractional-varying-order differen-tial is proposed. This model introduces an adaptive coefficient to set disparate differential order in-tervals for pixel with different gray values and use fractional-varying-order differential to process the input image combined with the CV model, then use a variety of image segmentation evaluation indicators, such as true positive (TP) rate, false positive (FP) rate, precision (P), Jaccard similar-ity (JS) rate, and Dice coefficient (DC) rate to measure the pros and cons of our model. The ex-perimental results show that our method is improved on the original basis, which is more condu-cive to us to obtain more image details and obtain better segmentation results.
ISSN:1004-0579
DOI:10.15918/j.jbit1004-0579.2021.028