• DocumentCode
    3571305
  • Title

    Analysis the Chorma Data of Spray Target Image Based-Fractal

  • Author

    Fajun, Zhang ; Minsong, Zhang

  • Author_Institution
    Coll. of Mech. & Mater. Eng., China Three Gorges Univ., Yichang, China
  • Volume
    1
  • fYear
    2009
  • Firstpage
    549
  • Lastpage
    552
  • Abstract
    Currently, most scholars agree that, but isn´t all an object recognition in image processing relies on the change of gradient of gray level image. In fact, there are many methods to treat us to study also. In order to realize this purpose, we apply the concept of fractal dimension to study this problem of Image recognition about Spray target. In this paper, we introduce the notion of a local fractal operator that can ldquomeasurerdquo the fractal dimension of a single pixel; we exploratory research interrelated simple examples about spray target image with such a method of operation; and then use histograms of the computed fractal dimensions of all the pixels to recolor the image in bins; the result is the segmented image can be acquired effectively. In the end of the article, we illustrated the use of our methods by several target images and discussed the various shortcomings about this technique.
  • Keywords
    fractals; gradient methods; image colour analysis; image recognition; mathematical operators; object recognition; chorma data; image recognition; image segmentation; local fractal operator; object recognition; spray target image based-fractal dimension; Data analysis; Fractals; Histograms; Image analysis; Image processing; Image recognition; Image segmentation; Object recognition; Pixel; Spraying; chorma; dimension; fractal; image; spray;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
  • Print_ISBN
    978-0-7695-3804-4
  • Type

    conf

  • DOI
    10.1109/ICICTA.2009.139
  • Filename
    5287593