Bruise detection in mangoes using wavelet packets

Date of Publication

2003

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Computer Science

College

College of Computer Studies

Department/Unit

Computer Science

Thesis Adviser

Jocelynn Wong

Defense Panel Member

Gregory G. Cu
Roselle Berdin
Joel P. Ilao

Abstract/Summary

Bruise Detection in Mangoes Using Wavelet Packets is an automated system for visual inspection of bruises in mangoes. It is comprised of a camera, a computer and a stand-alone program at the core to determine the absence or the extent of a bruise (if present).

It aims to address the need for automatic, objective and consistent quality evaluation because consumer preference is dictated, to a large extent, by the visual appearance of the produce hence machine vision and full-color image analysis are indispensable to the system.

It offers to produce consistent classification by reducing dependence on qualitative judgment of humans doing the manual inspection and by relying more on objective evaluation of the target visual parameter. Thus, improving product quality, meeting consumer expectations and increasing the profit gain of entrepreneurs. In addition, it will make the inspection and sorting process less time-consuming and less labor cost-intensive.

Abstract Format

html

Language

English

Format

Print

Accession Number

TU13645

Shelf Location

Archives, The Learning Commons, 12F, Henry Sy Sr. Hall

Physical Description

1 v. (various foliations) : ill. (some col.) ; 28 cm.

Keywords

Computer vision; Image processing; Wavelets (Mathematics); Signal processing--Digital techniques--Mathematics; Mango--Philippines--Classification

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