ZHENG Zhaobao, PAN Li, ZHENG Hong. Image Segmentation Based on Fuzzy Logic Methods[J]. Geomatics and Information Science of Wuhan University, 2014, 39(4): 397-400. DOI: 10.13203/j.whugis20120209
Citation: ZHENG Zhaobao, PAN Li, ZHENG Hong. Image Segmentation Based on Fuzzy Logic Methods[J]. Geomatics and Information Science of Wuhan University, 2014, 39(4): 397-400. DOI: 10.13203/j.whugis20120209
shu

Image Segmentation Based on Fuzzy Logic Methods

    Graphical Abstract
    • Abstract
  • Objective In this paper,the membership function in fuzzy logic is applied to image segmentation.It u-ses the value of a membership function within a certain range instead of a segmentation threshold todetermine which category apixel belongs to.This method is called the fuzzy logic image segmentationmethod(FLIS).Through image segmentation experiments with real aerial images,we compare exper-imental results with existing methods.The results show that the FLIS method has clear advantages.
    • FullText(HTML)
  • loading
    • References (0)
    • Related Articles

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return