Shape Damaged Detection

February 2017
Vol-3, Issue-1
Paper ID: 3784
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Image Processing
Keywords
Shape Detection Morphology Hue Edge Matching Algorithm.
Abstract
In this paper, a method of detecting Shape based on image edge morphologic analysis and Hue Matching Method was proposed. The Noise filter, enhancement and Edge Contours were adopted to pre-process the image and a novel image coding method based on relative direction coding was presented as well. Furthermore, an improved method based on image edge morphologic analysis was proposed, which can analyze the image edge with large quantities. The experimental results show that the approach to detecting Shape is effective and practical.

Author Information

# Name Institute / Affiliation
1 Shah Romi PankajKumar LCIT,Engineering College,Bhandu,Mehsana

How to Cite

Use the following formats to cite this article in your research.

APA Style
PankajKumar, Shah Romi (2017). Shape Damaged Detection. International Journal of Advance Research and Innovative Ideas In Education, 3(1), 1068-1072.
MLA Style
PankajKumar, Shah Romi. "Shape Damaged Detection." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 1, 2017, pp. 1068-1072.
IEEE Style
Shah Romi PankajKumar, "Shape Damaged Detection," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 1, pp. 1068-1072, 2017.
Vancouver Style
PankajKumar Shah Romi. Shape Damaged Detection. International Journal of Advance Research and Innovative Ideas In Education. 2017;3(1):1068-1072.
Harvard Style
PankajKumar, Shah Romi (2017) 'Shape Damaged Detection', International Journal of Advance Research and Innovative Ideas In Education, 3(1), pp. 1068-1072.
Chicago Style
PankajKumar, Shah Romi. "Shape Damaged Detection." International Journal of Advance Research and Innovative Ideas In Education 3, no. 1 (2017): 1068-1072.
Turabian Style
PankajKumar, Shah Romi. "Shape Damaged Detection." International Journal of Advance Research and Innovative Ideas In Education 3, no. 1 (2017): 1068-1072.

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