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The performance of the same method based on texture features has been seen to greatly change from one data set to another [ 19, 22, 25].
Table 1 Confusion Matrix for corrosion characterization based on texture features.
To this end, various CAD architectures, based on texture features and ensembles of classifiers (ECs), are comparatively assessed.
Feature subset AUC AUC Texture Color Texture and Color Figure 4 ROC convex hulls for different sizes of feature set. Figure 5 ROC analysis for corrosion characterization based on texture features.
In fact, by adding a new balloon energy based on texture features to the energy function of parametric ACM, we are able to detect texture objects in texture background more accurately than moment-based active contour.
Additionally, pixel based classification algorithms [ 14], would have difficulty segmenting choroidal vessels based on texture features only.
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Xiao et al. [5] proposed an adaptive watermarking scheme based on texture and luminance features in the CT domain, which uses the texture and luminance features of the host image to find the positions in which the watermark is embedded.
Real Corroded Non corroded Predicted Corroded Non corroded Table 3 Confusion Matrix for corrosion characterization based on texture and color features.
Importantly, in patients with known interstitial lung disease, radiologic discrimination and quantitation methods based on texture analysis and feature selection have demonstrated good sensitivity and specificity when compared to radiologic interpretations [ 17, 18, 32, 33] and have been demonstrated to be superior to lung density based detection methods [ 33].
Figures 3g– 3q show survival curves based on texture, stratified for the relevant clinicopathological features that were significant for 5-year crude survival on the training data set.
In this work, the behavior of hydrogel-based matrices has been investigated by means of several experimental techniques previously pointed out (gravimetric, and based on texture analysis); and then all the observed features were mathematically described using a physical model, defined and recently improved by our research group (based on balance equations, rate equations and swelling predictions).
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based on texture characteristics
based on terrain features
based on surface features
based on qualitative features
based on texture properties
based on price features
based on skeletal features
based on location features
based on land features
based on texture contents
based on sequence features
based on edge features
based on texture differences
based on texture measurements
based on texture cues
based on image features
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