A Comprehensive study of the effectivity of color indexing using a large database in plastic bottle sorting
Date of Publication
2001
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Manufacturing Engineering and Management
College
Gokongwei College of Engineering
Department/Unit
Manufacturing Engineering and Management
Honor/Award
Awarded as best thesis, [2001]
Thesis Adviser
Christopher Syling
Abstract/Summary
Plastic bottle recycling has been a government effort to help in the country's solid waste management. There have been a number of ways on how to sort plastic bottles to be recycled. Some sort by color, others sort by chemical composition, and others sort by the shape of the bottle. Each group has different opinions on which system works best with the least amount of error.
The group has decided to test the ability and efficiency of sorting plastic bottles for recycling by employing the color indexing method using a large database. The system uses a large database of images collected from different bottles in all its conceivable appearances and positions. The bottles are transported using a conveyor. A camera then captures the image of the bottle, while the computer processes the image, and looks for a match in its collected database. When the image is identified, the bottle is pushed to its respective container bin, and is ready for the next step in the recycling process.
Abstract Format
html
Language
English
Format
Accession Number
TU15266
Shelf Location
Archives, The Learning Commons, 12F Henry Sy Sr. Hall
Physical Description
ix, 75, [112] leaves : ill. ; 28 cm.
Keywords
Plastic bottles; Plastic bottles--Recycling; Recycling (Waste; etc); Refuse and refuse disposal; Image analysis--Data processing
Recommended Citation
Cua, T. C., Fernando, M. R., Go, G. N., & Laus, C. D. (2001). A Comprehensive study of the effectivity of color indexing using a large database in plastic bottle sorting. Retrieved from https://animorepository.dlsu.edu.ph/etd_honors/321