An Adaptive Fuzzy Image Enhancement Algorithm for Local Regions

In order to deal with the drawbacks of low speed and losing image information in fuzzy image enhancement algorithms, a novel fuzzy enhancement operator with close-character and transplantable-character is proposed in this paper. The approached operator employs the gradient operator to make the image enhancement processing focus on the interested regions, and the OTSU operator to automatically select the best threshold value, which can realize a novel adaptive fuzzy image enhancement algorithm for local regions. Through the experiments of the asphalt pavement crack image detection system, the experimental results indicate that the novel algorithm can not only obtain better processing effects and higher processing speed than now-available fuzzy image enhancement algorithms, but also possess the property of high practicability and generality.