Full-Text Search:
Home|About CNKI|User Service|中文
Add to Favorite Get Latest Update

Extracting Image Feature Points Using Scale-Interaction of Mexican-Hat Wavelets

DING Nan-nan1,2,LIU Yan-ying1,ZHU Ming1 (1.Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of Sciences, Changchun 130033,China2.Graduate University of Chinese Academy of Sciences,Beijing 100039,China)  
The feature point is an important local feature in the image,and it is also the important information in the image comprehension and pattern recognition,so the feature point extraction technology becomes a powerful tool of image processing.A method that based on scale-interaction of Mexican-hat wavelets is presented,and the method could extract close number of feature points corresponding to the same location in the images distorted by rotation,brightness,blur and noise.For the problem that the feature points extracted by scale-interaction of Mexican-hat wavelets are corresponding to the different locations in images of different scales,the method that resizes the Mexican-hat wavelets by the scale factors is presented.Finally,the algorithm is proved by simulation experiments.
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©CNKI All Rights Reserved