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Texture Filtering With Filtering Scale Map
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DOI：10.1109/ACCESS.2021.3121717.png)
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Abstract
En 中文
In this paper, we propose a novel texture filtering method. Starting with a texture boundaries extraction, we obtain the possibility of texture boundary by the statistics of the proportion of the pixels in different colors. The possibility of texture boundary can be obtained by calculating the Bhattacharyya distance of the color proportion on each side of each pixel. Further, we build a filtering scale map to guide the parameters of the filter. This filtering scale map is based on the texture boundary. Finally, to obtain the texture filtering result, we design an adaptive shape edge-preserving filter which is simple and effective. By counting the color information of all pixel neighborhoods the filter can select the pixels in a similar color to filter. Experiments are performed on different color-texture images, and the results show that our proposed method performs much better compared with state-of-the-art methods on texture filtering.
Keywords:
Image color analysis
Optical filters
Image edge detection
Information filters
Smoothing methods
Detectors
Feature extraction
Texture filtering
texture boundary
image smoothing
edge-preserving filter
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3.6
Papers:
9.8W
Citations:
29.4W
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