IDENTIFICATION OF VARIOUS DEFECTS IN PHARMACEUTICAL TABLETS USING IMAGE PROCESSING TECHNIQUES

Durga Karthik; Vijayarekha K; Saranya S

doi:10.22159/ajpcr.2017.v10i11.20034

Authors

Durga Karthik Department of CSE, Sastra University, Thanjavur, Tamil Nadu, India http://orcid.org/0000-0003-3199-8814
Vijayarekha K Department of CSE, Sastra University, Thanjavur, Tamil Nadu, India
Saranya S Department of CSE, Sastra University, Thanjavur, Tamil Nadu, India

DOI:

https://doi.org/10.22159/ajpcr.2017.v10i11.20034

Keywords:

Tablet defects, Segmentation, Euclidean distance, Denoising, Edge detection

Abstract

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Â Objective: Our aim is to identify the damaged tablets from the manufacturing line using image processing techniques and remove them before packaging.

Methods: The various problems posed during inspection are broken tablets, corner chips, black or other color spots in tablets, empty blisters (without one or more tablets or capsules), foreign particles/color variation in the tablets/capsules, improper sealing, etc., Image processing techniques will be used for defect detection.

Results: Tablets are available in packed forms that are usually transparent, semi-transparent or opaque. Euclidean distance was employed for detecting defects, during testing that had a similarity of 100 for tablets with no defects, for defective blisters had similarity ranging from 98 to 41. Empty blisters had a similarity of 0 on comparing with trained images.

Conclusion: Similarity measuring based technique can accurately detect defects in the pharmaceutical tablets, hence can be adopted for removing such blisters from the manufacturing line itself.

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Author Biography

Durga Karthik, Department of CSE, Sastra University, Thanjavur, Tamil Nadu, India

Department of Computer science and engineering

Assistant Professor

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