TY  - JOUR
T1  - Image Defect Identification with Orthogonal Polynomials Model
AU - Krishnamoorthy, R. AU - Ganesh, M. 
JO  - Asian Journal of Information Technology
VL  - 15
IS  - 8
SP  - 1389
EP  - 1395
PY  - 2016
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2016.1389.1395
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2016.1389.1395
KW  - Edge detection
KW  -defect identification
KW  -orthogonal polynomials
KW  -weight factor
KW  -gradient estimation
AB  - 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.
ER  -