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Hough circle transform image processing particle analysis based from sieve meshes for silica sand / Catherine M. Verallo.

By:

Verallo, Catherine M

Material type: Text

TextPublication details: (Manila) : Mapua University, 2018.Description: vii, 16 leaves : color illustrations ; 29 cmSubject(s):

Silica sand -- Particle size analysis -- Research

Contents:

Title page -- Approval page -- acknowledgement -- table of contents -- list if table -- list of figures -- Article 1 -- Article 2 -- Recombination -- Appendices.

Summary: This paper proposed an automated solution in determining the particle size analysis of fine materials. The traditional method involves sieve analysis in which particle size distribution is determined by the samples that passed through and retained in layers of standard sieves. This method will generate the approximate size of the material based on sieves sizes where it passed thru and retained. The Image Processing method exhibits particle size analysis using Hough Circles Transform. The sizes we identified and classified based on sieve meshes. The software generated particle counts from samples that matched through sieve meshes sizes. The particle size were also identified with an accuracy of 92.25% using confusion matrix. In the implementation of this system, appropriate lighting and selection of samples was put into consideration.

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
CHED Funded Research	Commission on Higher Education	Thesis and Dissertation	LG 995 2018 C6 V4 (Browse shelf(Opens below))	Storage Area (Restricted Access)		CHEDFR-000279
Digital Thesis and Dissertations	Commission on Higher Education	Digital Thesis and Dissertation	LG 995 2018 C6 V4 (Browse shelf(Opens below))	Available (Room Use Only)		DCHEDFR-000028

Thesis (Master of Science in Computer Engineering) -- Mapua University, May 2018.

CHED Funded Research.

Title page -- Approval page -- acknowledgement -- table of contents -- list if table -- list of figures -- Article 1 -- Article 2 -- Recombination -- Appendices.

This paper proposed an automated solution in determining the particle size analysis of fine materials. The traditional method involves sieve analysis in which particle size distribution is determined by the samples that passed through and retained in layers of standard sieves. This method will generate the approximate size of the material based on sieves sizes where it passed thru and retained. The Image Processing method exhibits particle size analysis using Hough Circles Transform. The sizes we identified and classified based on sieve meshes. The software generated particle counts from samples that matched through sieve meshes sizes. The particle size were also identified with an accuracy of 92.25% using confusion matrix. In the implementation of this system, appropriate lighting and selection of samples was put into consideration.

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