Development of an On-Line Inspection System for the Bruise of Apples Using Chlorophyll Fluorescence Image

碩士 === 國立宜蘭大學 === 生物機電工程學系碩士班 === 99 ===   The objective of this study was to develop an on-line inspection system for the bruise of apples by using chlorophyll fluorescence image for image processing that non-destructive bruise inspect. The bruise inspection system for apple is a combination of chl...

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Bibliographic Details
Main Authors: Chen, Chunhung, 陳俊宏
Other Authors: Chiu, Yichich
Format: Others
Language:zh-TW
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/66952788221171497979
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Summary:碩士 === 國立宜蘭大學 === 生物機電工程學系碩士班 === 99 ===   The objective of this study was to develop an on-line inspection system for the bruise of apples by using chlorophyll fluorescence image for image processing that non-destructive bruise inspect. The bruise inspection system for apple is a combination of chlorophyll fluorescence image acquisition unit, fruit rotation disk unit, conveyor unit and analysis and control unit. Analysis and control unit are consists of bruise recognition and analysis, fruit rotation disk control, conveyor control and system integration control. The graphical programming language LabVIEW® was designed to develop the control program and through Vision Assistant program to create the image processing procedure; and apply the image processing procedure to integration in LabVIEW®.   In this study, using 460nm excitation light source and 680±10nm band pass filter with digital camera to acquisition chlorophyll fluorescence image of Golden Delicious apples. Each angle rotates 60 degrees for six times by fruit rotation disk and this action can fully receive the appearance of apple. The image processing procedure of bruise recognition including image preprocessing, median filter, local threshold, remove border objects, remove small objects and fill holes. The bruise detectable rate is 100% by three specified force, 67.9±4.84N, 82.1±4.57N and 102±8.44N, were applied to impact the apples after 45 minutes for using image processing procedure, it showed significant difference among impacted time on bruise detectable ratio by used ANOVA analysis; another point of bruise on different regions(upside, middle and lower), the bruise detectable rate is 100% by bruise produce after 45 minutes; the similar rate is 86.9% between real bruise area and recognition bruise area. The bruise detectable rate is 100% by impact the apple after 45 minutes for using on-line inspection system to inspect it. The inspecting time needs about 78 sec for two apples, with a throughput of 46 apples/h. Consequently, the study of online inspection system for the bruise of apples by using chlorophyll fluorescence has been successfully developed and expect can be apply to production line for automatic examination in the future.