IDENTIFICATION OF VARIOUS DEFECTS IN PHARMACEUTICAL TABLETS USING IMAGE PROCESSING TECHNIQUES

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

 

 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.

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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Published

2017-11-01

How to Cite

Karthik, D., V. K, and S. S. “IDENTIFICATION OF VARIOUS DEFECTS IN PHARMACEUTICAL TABLETS USING IMAGE PROCESSING TECHNIQUES”. Asian Journal of Pharmaceutical and Clinical Research, vol. 10, no. 11, Nov. 2017, pp. 106-8, doi:10.22159/ajpcr.2017.v10i11.20034.

Issue

Section

Original Article(s)