Abstract: Now a day, people are affected by many diseases. There are certain diseases which cannot be cured without medicine. The production of medicine has increased a lot in recent days. During production there may be damages like breakage, cracks etc. present in the tablets or capsules. Most of the tablets are not advisable to be consumed in broken form. Manual inspection is a very challenging task. Image processing plays a major role in automation of visual inspection. Therefore we propose some ideas to identify the damaged tablets after production. This is a series of process involving image enhancement, thresholding, segmentation, Filtration, pixel calculation, subtraction, de-noising and region based statistic to identify the broken tablets.
Keywords: Tablets, Blister, gray image, Image processing.
Title: Detection of Defect in Pharma -Tablets Using Image Processing
Author: Ritesh Chavda, Devraj Gohil, Ankit Patel, Sunil Hemnani, Miss. Shreya Patel, Miss. Shivangi Patel
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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