Asian Journal of Information Technology
ISSN: Online 1993-5994ISSN: Print 1682-3915
Abstract
In this study, a simple technique for defect identification based on Orthogonal Polynomials (OP) model is presented. Initially, the input image under analysis is applied with OP model and gradient estimation scheme is employed to locate the edges present. The resulting binary image is again applied with OP model, and a simple computation scheme that finds the ratio between selected transform coefficients is proposed to identity the defects present in the image. Experiments have been conducted with different images consisting of both homogeneous and non homogeneous regions. The proposed technique is found to perform well, for unshaped defects, and is found to outperform the existing schemes.
How to cite this article:
R. Krishnamoorthy and M. Ganesh. Image Defect Identification with Orthogonal Polynomials Model.
DOI: https://doi.org/10.36478/ajit.2016.1389.1395
URL: https://www.makhillpublications.co/view-article/1682-3915/ajit.2016.1389.1395