Vision-based algorithm for recyclable waste classification

Waste segregation is one of the most prominent problem in the world. Particularly in the Philippines where waste segregation is done manually. This research aims to solve the problem regarding waste segregation by means of image processing. These recyclable materials are classified into nine groups...

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Bibliographic Details
Main Authors: Labay, Neil Patrick J., Ong, Mariel Sheryn B., Sales, Jillian Abigail J., Toyoda, Mitsuru Mike E.
Format: text
Language:English
Published: Animo Repository 2014
Online Access:https://animorepository.dlsu.edu.ph/etd_bachelors/10966
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Institution: De La Salle University
Language: English
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Summary:Waste segregation is one of the most prominent problem in the world. Particularly in the Philippines where waste segregation is done manually. This research aims to solve the problem regarding waste segregation by means of image processing. These recyclable materials are classified into nine groups namely: aerosol cans, aluminum cans, cereal box, glass bottles, paper bowls, plastic bottles, plastic cups, tetra packs and tin cans. The recyclable materials is subjected to a controlled environment then the image is captured by the camera. By the use of cascade filters such as Wiener and medium filter along with morphological operators and canny edge detector, the region of interest is extracted from the image. Then used two methods of classifying namely: Random Sampling and Consensus (RanSac) and combination of Bag-of-Words (BoW) and Support Vector Machines (SVM).