New weighted mean filtering algorithm for surface image based on grey entropy

作者：Li Gang^*

来源：Sensors and Transducers, 2013, 161(12): 21-26.

• Automatic Detection
• Grey system theory
• Image filtering
• Noise filtering
• Pavement cracks
• Weight coefficients
• Weighted averages
• Weighted-mean filtering algorithm

In the process of automatic detection for the road cracks, the traditional algorithms can not always get satisfactory results. This article applied the grey entropy of the grey system theory into the surface image preprocessing and segmentation, and offers a new more effective way for the road image denoising. With the presence of the noise in the surface image, we use the grey entropy value of each pixel in the neighborhood and their median value as the weight coefficient of each pixel, and find the weighted average value of the neighborhood window to replace the centre pixel of the neighborhood in order to achieve the noise filtering. Simulation results show that the method is superior to the traditional mean filtering, grey weighted average filter algorithm, and lay a good foundation for further processing of pavement crack.

• 出版日期2013