CAJ | 학술논문

本文提出一种改进的多尺度MRF边缘检测方法．基于图像的八邻域结构在MRF模型中引入了Gibbs分布的线过程，有效地改善了MRF边缘检测算子的方向灵敏性．给出了对应于八邻域线过程结构的能量函数．基于该算法对检测边缘的精确定位性能，提出了一种容易的多尺度检测边缘合成规则．
본문제출일충개진적다척도MRF변연검측방법．기우도상적팔린역결구재MRF모형중인입료Gibbs분포적선과정，유효지개선료MRF변연검측산자적방향령민성．급출료대응우팔린역선과정결구적능량함수．기우해산법대검측변연적정학정위성능，제출료일충용역적다척도검측변연합성규칙．
An improved multi-scale edge detection method based on the Markov random field (MRF) is proposed in this paper. The 8-neighborhood structure was introduced into the line-process that was employed in the Gibbs distribution in the MRF, which improves the directional sensitivity of the MRF edge detector efficiently. The constructing mechanism of the energy function correspondence to the 8-neighborhood line-process is given. On the basis of improving the location deviating of the detected edge in multi-scale, an easier method to synthesis the detected edge in multi-scale is given.