Digital Image Processing

S. Priya ¹, T. Ashok Kumar ², Varghese Paul ³, P. Marichamy ⁴

Affiliations
1 Govt. Model Engineering College, Ernakulam, Kerala, IN
2 College of Engineering, Cherthala, Kerala, IN
3 Department of CS/IT/Research, Toch Institute of Science & Technology, Arakkunnam, Ernakulam, Kerala, IN
4 Dean in PSR Engineering College, Sevalpatti, Sivakasi, Tamilnadu, IN

Abstract

Automated visual inspection systems are a long felt alternative to human visual inspection systems in the textile industry, especially when the quality control of products in the industry is a significant problem. It is observed that the price of textile fabric is reduced by 45% to 65% due to defects. In the manual fault detection systems with trained inspectors, only very few defects are being detected while an automatic system can increase this to a maximum number thus, automated visual inspection systems play a great role in assessing the quality of textile fabrics. For the detection of defects in a homogeneous fabric, we first perform bit plane decomposition of the image. The lower order bit planes are found to be useful for the localization of defects while eliminating the prints and other parts. Then we extract the exact boundary by means of mathematical morphology. The algorithm has been evaluated on a subset of TILDA1 image database with various visual qualities. Robustness with respect to the changes of the parameters of the algorithm has been examined.

Keywords

Adaptive Histogram Equalization, Bit Plane Decomposition, Image Processing, Mathematical Morphology, Fabric Defects, Top-Hat Transform, Bottom-Hat Transform.

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T. Ashok Kumar ¹, S. Priya ², M. G. Mini ³

Affiliations
1 College of Engineering (A Govt. of Kerala Undertaking), Cherthala, Kerala, IN
2 Govt. Model Engineering College, Thrikkakara, Ernakulam, Kerala, IN
3 Department of Electronics Engineering, Govt. Model Engineering College, Thrikkakara, Ernakulam, Kerala, IN

Abstract

This paper presents an approach to the fast localization and extraction of optic disc from fundus images of the human retina. For the diagnosis of Diabetic Retinopathy and other eye related abnormalities, digital fundus images are becoming increasingly important. This fact opens the possibility of applying image processing techniques in ocular fundus images to facilitate and improve diagnosis in different ways. Optic disc is the major landmark for retinal fundus image registration and is indispensible for the quick understanding of retinal images. For the detection and subsequent extraction of optic disc, we first perform bit plane decomposition to the image. The lower order bit planes are found to carry vital information of the location and boundary of optic disc. Then we locate the exact boundary by means of mathematical morphology. The algorithm has been evaluated on a subset of MESSIDOR1 image database with various visual qualities. Robustness with respect to the changes of the parameters of the algorithm has been examined.

Keywords

Bit Plane Decomposition, Image Processing, Mathematical Morphology, Optic Disc Localization.

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