An adaptive tensor voting algorithm combined with texture spectrum

作者：Wang, Gang^*; Su, Qing-tang; Lü, Gao-huan; Zhang, Xiao-feng; Liu, Yu-huan; He, An-zhi

来源：Optoelectronics Letters, 2015, 11(1): 73-76.

DOI：10.1007/s11801-015-4174-3

• Attenuation coefficient
• Attenuation fields
• Edge extraction
• Human visual perception
• Original images
• Pavement cracks
• Texture information
• Texture spectrum

An adaptive tensor voting algorithm combined with texture spectrum is proposed. The image texture spectrum is used to get the adaptive scale parameter of voting field. Then the texture information modifies both the attenuation coefficient and the attenuation field so that we can use this algorithm to create more significant and correct structures in the original image according to the human visual perception. At the same time, the proposed method can improve the edge extraction quality, which includes decreasing the flocculent region efficiently and making image clear. In the experiment for extracting pavement cracks, the original pavement image is processed by the proposed method which is combined with the significant curve feature threshold procedure, and the resulted image displays the faint crack signals submerged in the complicated background efficiently and clearly.

• 出版日期2015-1
• 单位南京大学