顾及Gestalt认知效应的线性岛屿模式识别
Linear Island Alignment Recognition Based on Gestalt Principle
-
摘要: 从岛屿分布的邻近性、延展性、紧凑性、直线性等特征出发,提出了线性岛屿结构识别的新方法。首先,以Delaunay三角网为空间分析工具,计算岛屿群空间邻近关系,生成空间邻近图;然后,在空间邻近图的基础上生成MST图;最后,利用Gestalt原则对线性阵列结构的识别效应,在MST上通过3次剪枝导出线性岛屿结构。实验结果表明,该方法能够识别出具有明显线性岛屿结构的目标集,与肉眼视觉识别基本一致Abstract: The Gestalt cognition psychology plays an important role in the recognition of linear island alignment by several perceptual grouping principals,namely the law of proximity,compactness,good continuation.Based on the perceptual grouping principles mentioned above,a new method has been developed for linear island alignment recognition.The spatial neighborhood analysis is first conducted by Delaunay triangulation.And based on the neighborhood graph,the corresponding MST is generated to represent spatial structure of island cluster.Then the edge of MST tree is pruned successively according to three different Gestalt conditions.The experiment shows that result is consistent with the manual identification.