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We have designed a morphological filter in order to calculate the centroid spots of Hartmann patterns.
Figure 14a shows the results achieved using a Sobel filter in distance values from 3D information, and Figure 14b shows the results obtained using the morphological filter in distance values, obtained by using Equation 23 and establishing a dilation and erosion mask S as follows S = 0 1 0 1 1 1 0 1 0 (33) Figure 14 Strategy for jump edge error reduction.
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This article presents an efficient denoising method derived from morphological filtering in NSST domain and Bitonic filtering.
We propose full-reference metric based on multi-scale decomposition using morphological filters in order to better deal with specific geometric distortions in the DIBR-synthesized images.
Introduced non-linear morphological filters in multi-resolution image decomposition maintain important geometric information such as edges across different resolution scales.
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.
Using non-linear morphological filters in multi-scale image decomposition, important geometric information such as edges is maintained across different resolution levels.
In order to better deal with specific geometric distortions in DIBR-synthesized images, we propose multi-scale image quality assessment metric based on morphological filters in multi-resolution image decomposition.
Introduced non-linear morphological filters in multi-resolution image decomposition maintain important geometric information such as edges on their true positions, neither drifted nor blurred, across different resolution levels [8].
Use of morphological filters in case they are needed to increase the efficiency of detection algorithms.
Measurements were performed using the "3D manager" function of the "binary morphological filter" plug-in [70].
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