Open AccessTexture Filtering With Filtering Scale Map
Author(s) -
Jia Wang,
Surng-Gahb Jahng
Publication year - 2021
Publication title -
ieee access
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.587
H-Index - 127
ISSN - 2169-3536
DOI - 10.1109/access.2021.3121717
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
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.