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Journal of Applied Sciences
  Year: 2017 | Volume: 17 | Issue: 9 | Page No.: 458-466
DOI: 10.3923/jas.2017.458.466
 
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Improved Global and Local Curvature Properties for Shape Corner Detection

Suraya Abu Bakar, Muhammad Suzuri Hitam and Wan Nural Jawahir Hj. Wan Yussof

Abstract:
Background and Objective: Corners detection plays an important role in finding accurate corners points especially in image processing fields. In this study, improvements of global and local curvature properties are implemented to detect true corners shape of an object. Materials and Methods: The corners detected are the potential key points to determine the shape corners of the shape object. A comparison of the corners detected was made between the proposed method with six other different corner detectors and descriptors. To evaluate the proposed improved global and local curvature properties method, experimental works were conducted by using the bench mark image data set. Results: The results obtained showed that improvement of the corners detected by the proposed method is viable for practical use. Conclusion: The improved corners detector is robust and suitable to be used in various image processing field such as shape matching, shape retrieval, object matching and pattern recognition.
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How to cite this article:

Suraya Abu Bakar, Muhammad Suzuri Hitam and Wan Nural Jawahir Hj. Wan Yussof, 2017. Improved Global and Local Curvature Properties for Shape Corner Detection. Journal of Applied Sciences, 17: 458-466.

DOI: 10.3923/jas.2017.458.466

URL: https://scialert.net/abstract/?doi=jas.2017.458.466

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