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Joseph et al. [2] proposed segmentation of MRI brain images using K-means clustering algorithm along with morphological filtering for the detection of tumor images.
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It exploits median and erosion/dilation morphological filters for specific noise reduction tasks, such as impulsive noise removal.
This work gives a thorough exploration of the capacity of multi-scale morphological filters for gear fault detection.
Based on this idea, we designed a signal geometry matching approach: pattern classification using one-dimensional adaptive rank-order morphological filter for fault diagnosis, named PC1DARMF approach.
(3) Top-slice segmentation procedure: (a) eroding the previous segmentation regions (Fig. 9 c) using morphological filter for calculating the initial LSF and (b) refining the segmentation results (Fig. 9 d) on the probability map with 3×3 local patches.
If one carries out a morphological filter (for example, an opening) after the obtained result by using Otsu's method, many objects (blood vessels) can be eliminated.
In the following section, we discuss about the morphological filtering of EEG signals.
This paper presents a novel signal processing scheme, namely time-varying morphological filtering (TMF), for rolling element bearing fault detection.
This paper presents a novel gradient-constrained morphological filtering algorithm for bare-earth extraction from light detection and ranging (LiDAR) data.
Furthermore, we added 10 additional services that realize a morphological filtering functionality: 5 services for dilating, and 5 services for eroding an image.
The MP-PSNR performances using different shapes of structuring element (square, round, rhomb and cross type structuring element, Fig. 16) for morphological filtering in analysis step are evaluated.
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