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This operation will provided basis for rainy image pixel classification.
A simple and robust method for image pixel classification based on spectral reflectance properties is presented.
The CCBHNC uses a three-dimensional architecture with pixel classification implemented on its third dimension.
To construct statistical tests for pixel classification, we propose to rely on estimated p-values.
Figure 4 Pixel classification in five frames of the scene AB-Easy.
This work lies within the scope of color image segmentation by pixel classification.
Then, we classified the 8× 8 blocks based on the pixel classification results.
Figure 5 Pixel classification in five frames of the scene AB-Medium.
Figure 6 Pixel classification in five frames of the scene AB-Hard.
Figure 7 Detail of pixel classification when using specialized states (a) and not (b).
The superpixel-level classifier is directly affected by precision of pixel-level classification since the confidence of superpixel is calculated based on pixel classification results.
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