南京大学学报（自然科学版）2013，Vol.49Issue(2)：159-168,10.
一种用于谱聚类图像分割的像素相似度计算方法
A new pixel affinity for spectral image segmentation
摘要
Abstract
Image segmentation is a key step in many computer vision tasks,one of the main approaches for image segmentation is spectral clustering. In order to use spectral clustering algorithms to group image pixels into regions, affinity matrix for pixels must be calculated first. Whether the adopted pixel affinity criteria can reveal the true underlying visual similarity among pixels will dramatically affect the algorithm outputs. A method is proposed to calculate pixel affinities for spectral image segmentation algorithms,the proposed affinity is not only decided by the visual similarity between two pixels, but also affected by their neighborhoods, and the edge information between them. Compared with traditional approaches,the new similarity is more compatible with human visual sensation,and more robust against the influence from texture. In addition,an affinity matrix construction method is also presented to cooperate with the new affinity metric. Experiments on BSDS300 image dataset show that the new approach can obtain good results on spectral image segmentation tasks.关键词
相似度/相似矩阵/谱聚类/图像分割Key words
pixel affinity/affinity matrix/spectral clustering/image segmentation引用本文复制引用
纳跃跃,于剑..一种用于谱聚类图像分割的像素相似度计算方法[J].南京大学学报（自然科学版）,2013,49(2):159-168,10.基金项目
中央高校基本科研业务费专项资金 （）
