文章摘要
引用本文:李欢丽,徐海平,王美清.基于局部直方图信息的相似图像组分割模型[J].福州大学学报(自然科学版),2018,46(2):178~185
基于局部直方图信息的相似图像组分割模型
The model for segmenting group of similar images based on local histogram information
  
DOI:10.7631/issn.1000-2243.17124
中文关键词: 协同分割  相似图像组  局部直方图  ACGS模型  SUN显著图
英文关键词: co-segmentation  similar images group  local histogram  active contours with group similarity model  saliency using natural statistics
基金项目:
作者单位
李欢丽 福州大学数学与计算机科学学院福建 福州 350116 
徐海平 福州大学数学与计算机科学学院福建 福州 350116 
王美清 福州大学数学与计算机科学学院福建 福州 350116 
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中文摘要:
      针对ACGS模型不能有效分割具有纹理变化的相似图像组问题,提出一种基于图像局部直方图信息的协同分割模型. 该模型能量泛函分为两项,一项为基于图像直方图信息的数据项,反映了图像组中每张图像的纹理信息;另一项为用形状矩阵的秩表示的相似性约束项,用来控制待分割图像之间目标形状的相似性,其中形状矩阵中每个列向量代表图像组中一幅图像的目标轮廓. 同时,在SUN显著图上演化CV模型实现轮廓的初始化,提高了ACGS模型对初始轮廓位置的鲁棒性. 实验表明,该模型对具有纹理变化的形状相似图像组分割效果优于ACGS模型.
英文摘要:
      Aiming at solving the problem that ACGS model cannot effectively segment the group of similar images with texture changes,this paper proposes a co-segmentation model based on image local histogram information. The energy function of the proposed model consists of two items,one is the item based on image local histogram information,reflecting the texture information of each image in group of similar images;the other one is represented by the rank of the matrix consisting of multiple shapes,used to control the similarity of object shapes. And each column of the shape matrix represents an image in the image group. In addition,we get the initial contours of the proposed model by using CV model on images SUN saliency maps,which increases the robustness of the ACGS model against initial contours. The experimental results show that the proposed model has a better performance on the segmenting result than the ACGS model,for the group of similar images with textured change.
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