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Much research has been conducted on fuzzy c-means (FCM) clustering algorithms for image segmentation that incorporate the local neighbourhood information into their objective function in order to mitigate problems related to noise sensitivity and poor performance. Although the bias-corrected FCM, FCM with spatial constraints, and adaptive weighted averaging algorithms have proven to be robust to noise...
This study describes improved partial differential equation (PDE)-based formulations for combined global and local contrast operators for underwater image enhancement. The algorithms remove the limitations of conventional closed-form approaches and the problem of optimal stopping time of earlier PDE-based approaches. Main features include improved simultaneous combination, augmentation and control...
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