An Enhanced Method for Sprite Extracting

Furat Nidhal*, Yasmine Mazin Tabra**
*Assistant Lecturer, Baghdad University, Iraqi, National Cancer Research Center, Iraq.
** Assistant Lecturer, Al-Nahrain University, College of Information Engineering, Iraq.
Periodicity:September - November'2014
DOI : https://doi.org/10.26634/jit.3.4.3090

Abstract

The extracting of personal sprite from the whole image faced many problems in separating the sprite edge from the unneeded parts, some image software try to automate this process, but usually they couldn’t find the edge or have false result. In this paper, we have made an enhancement on the use of Canny edge detection to locate the sprite from the whole image by adding some enhancement steps by using MATLAB. Moreover, remove all the non-relevant information from the image by selecting only the sprite and place it in a transparent background.The results of comparing the Canny edge detection with the proposed method shows improvement in the edge detection.

Keywords

Canny Edge Detection, Sprite Extraction, Transparent Background, Filling Holes

How to Cite this Article?

Tawfeeq. F. N and Tabra. Y. M (2014). An Enhanced Method For Sprite Extracting. i-manager’s Journal on Information Technology, 3(4), 9-12. https://doi.org/10.26634/jit.3.4.3090

References

[1]. W. Frei and C. Chen, (1977). "Fast Boundary Detection: A Generalization and New Algorithm," IEEE Trans. Computers, Vol. C-26, No. 10, pp. 988-998, Oct.
[2]. R. C. Gonzalez and R. E. Woods, (2001). “Digital Image Processing”, Upper Saddle River, NJ: Prentice-Hall, pp. 572-585.
[3]. L. Ding, A. Goshtasby, (2001). “On the Canny edge detector”, The Journal of Pattern Recognition, Elsevier Science Ltd, Vol. 34, pp. 721-725,
[4]. E. Nadernejad, S. Sharifzadeh and H. Hassanpour, (2008). “Edge Detection Techniques: Evaluations and Comparisons”, Applied Mathematical Sciences, Vol. 2, No. 31, 1507 – 1520.
[5]. Canny, John, (1986). "A Computational Approach to Edge Detection," IEEE Transactions on Pattern Analysis and Machine Intelligence,Vol. PAMI-8, No. 6, pp. 679-698
[6]. Van den Boomgard, R, and R. Van Balen, (1992). "Methods for Fast Morphological Image Transforms Using Bitmapped Images," Computer Vision, Graphics, and Image Processing: Graphical Models and Image Processing, Vol. 54, Number 3, pp. 254-258, May.
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Pdf 35 35 200 20
Online 35 35 200 15
Pdf & Online 35 35 400 25

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.