An adaptive tensor voting algorithm combined with texture spectrum  

作　　者：王刚 苏庆堂 吕高焕 张小峰 刘玉环 贺安之 

机构地区：[1]School of Information and Electrical Engineering Ludong University [2]School of Science Nanjing University of Science & Technology

出　　处：《Optoelectronics Letters》2015年第1期73-76,共4页光电子快报（英文版）

基　　金：supported by the National Natural Science Foundation of China(No.61471185);the Joint Special Fund of Shandong Province Natural Science Foundation(No.ZR2013FL008);the Project of Shandong Province Higher Educational Science and Technology Program(No.J14LN20)

摘　　要：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.

关 键 词：interferometer offset grating cascaded simultaneous fabrication monitored refractive cladding resonant 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]