计算机工程与应用 ›› 2011, Vol. 47 ›› Issue (22): 183-187.

• 图形、图像、模式识别 • 上一篇    下一篇

基于频率谱变化量的唐卡图像特征提取与表示

王维兰1,钱建军2,杨旦春3,王念一1   

  1. 1.西北民族大学 计算机科学与信息工程学院,兰州 730030
    2.西北民族大学 中国民族信息技术研究院,兰州 730030
    3.西北民族大学 美术学院,兰州 730030
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2011-08-01 发布日期:2011-08-01

Contour feature extraction and expression for Thangka image based on variation of frequency spectral

WANG Weilan1,QIAN Jianjun2,YANG Danchun3,WANG Nianyi1
  

  1. 1.School of Computer Science and Information Engineering,Northwest University for Nationalities,Lanzhou 730030,China
    2.Information Technology Institute,Northwest University for Nationalities,Lanzhou 730030,China
    3.School of Fine Arts,Northwest University for Nationalities,Lanzhou 730030,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2011-08-01 Published:2011-08-01

摘要: 提出了一种在频域空间内用频率谱变化量来表示图像轮廓特征的方法,并在宗教类唐卡图像的头饰分类中得到了成功的应用。标注图像的头饰区域,应用基本全局门限和用户观察直方图选择阈值相结合的方法分割标注区域;将图像中的像素点转换成直角坐标系下的坐标点,并提取典型轮廓点;通过傅里叶变换将典型轮廓点转换到频域空间,应用频率谱值较小的那部分的变化量作为轮廓特征,提取轮廓内部的颜色特征。实验证明,应用所提取的头饰特征可以有效地对唐卡图像进行分类。

关键词: 频率谱, 傅里叶变换, 轮廓特征提取, 唐卡图像, 分类

Abstract: This paper presents a method based on the variation of frequency spectral to express contour feature,which has been successfully applied to classify headdresses of religious portrait Thangka image.Mark the headdress region of the image,segment the marked area by the means of basic global threshold and user observation histogram to choose threshold value.Transfer the pixels in the image into points in the coordinate system,and extract the typical contour points.Transfer the typical contour points into frequency region space through Fourier transform,apply the relatively small frequency spectrum values as the contour features.The experiments show that the effective classification of headdresses can be done by extracting the features of headdresses in this paper.

Key words: frequency spectral, Fourier transform, contour feature extraction, Thangka image, classification