A dam crack image enhancement algorithm based on underwater biological vision

作者：Fan Xin Nan^*; Gu Li Ping; Wu Peng; Zhang Zhuo; Zhang Xue Wu; Shi Peng Fei

来源：Journal of Optoelectronics - Laser, 2014, 25(2): 372-377.

• Adaptive
• Asymmetrical narrow stick
• Brightness adjustments
• Crack image
• Enhancement mechanism
• Lateral inhibition
• Linear characteristics
• Low signal-to-noise ratio

In view of the characteristics such as non-uniform brightness, low signal to noise ratio as well as the low contrast of the underwater dam crack image, this paper brings up a novel dam crack image enhancement algorithm, which adopts the simulation of underwater biological vision. With reference to the brightness adjustment characteristics of the biological vision, this algorithm also improves the non-uniform brightness of underwater dam crack image. Furthermore, in order to improve the low signal-to-noise ratio and solve the problem of low contrast of dam crack image, on the basis of lateral inhibition enhancement mechanism of the "horseshoe crab fish", we introduce the adaptive asymmetric narrow strip guidance models, which can help to enhance the linear characteristics of the crack image. The theoretical and the experimental results got from this paper show that the proposed algorithm can significantly eliminate the noises of the underwater image, and also better improve the definition of the image from the physical standpoint. And at the same time, by strengthening the edges of crack image and enhancing the subtle liner structures of interest in the crack image, this algorithm improves the contrast of the interesting areas, which is of great significance for the subsequent crack feature extraction.

• 出版日期2014
• 单位河海大学