Thumbnail
Access Restriction
Open

Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Broken Pharmaceutical Drug ♦ Enhanced Feature Extraction Technique ♦ Image Processing ♦ Feature Extraction Technique ♦ Image Enhancement ♦ Defective Blister ♦ Manual Inspection ♦ Many Disease ♦ Broken Form ♦ Challenging Task ♦ Digital Image ♦ Major Role ♦ Certain Disease ♦ Everyone Life ♦ Defectiveblister Image Processing ♦ Broken Tablet ♦ Recent Day ♦ Pixel Calculation ♦ Visual Inspection
Abstract Medication has become more important in everyone’s life; people are affected by many diseases. There are certain diseases which cannot be cured without medication. The production of medicine has increased a lot in recent days. During production there may be damages like breakage, cracks present in the tablets or capsules. Consumption of these damaged tablets may cause some problem in skin, eyes and mouth. 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, segmentation, thresholding, filtration, pixel calculation, subtraction, de-noising and region based statistic to identify the broken tablets. In the case of capsules we propose a feature extraction technique to find the defective blister. Keywords:Tablets,Capsules,Imageprocessing,Defectiveblister Image Processing involves techniques and algorithms for processing the digital images. Image processing
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study