Fruit quality grading method based on image processing
The invention discloses a fruit quality grading method based on image processing. The method comprises the following steps: shooting fruit surface images from multiple angles through a camera; pre-processing the shot image, wherein the pre-processing comprises methods of Gaussian filtering, threshol...
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creator | HUANG BOCAI LIANG JIACHENG LIU SHAOJUN HUANG DAOPING |
description | The invention discloses a fruit quality grading method based on image processing. The method comprises the following steps: shooting fruit surface images from multiple angles through a camera; pre-processing the shot image, wherein the pre-processing comprises methods of Gaussian filtering, threshold segmentation and the like; extracting color features and size features of the fruit surface, performing region segmentation on defect candidate regions of the fruit surface, and constructing a data set of the defect candidate regions; training a model capable of identifying a defect area and a fruit stem area by using the data set of the defect candidate area; identifying the extracted region part by using the trained network model to obtain feature data of the defect; and classifying fruit quality grades according to a set fruit grading standard by utilizing the obtained characteristics such as the color characteristics, the size characteristics and the defect areas of the fruits, so as to finish fruit quality g |
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The method comprises the following steps: shooting fruit surface images from multiple angles through a camera; pre-processing the shot image, wherein the pre-processing comprises methods of Gaussian filtering, threshold segmentation and the like; extracting color features and size features of the fruit surface, performing region segmentation on defect candidate regions of the fruit surface, and constructing a data set of the defect candidate regions; training a model capable of identifying a defect area and a fruit stem area by using the data set of the defect candidate area; identifying the extracted region part by using the trained network model to obtain feature data of the defect; and classifying fruit quality grades according to a set fruit grading standard by utilizing the obtained characteristics such as the color characteristics, the size characteristics and the defect areas of the fruits, so as to finish fruit quality g</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS</subject><creationdate>2024</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240402&DB=EPODOC&CC=CN&NR=117808746A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240402&DB=EPODOC&CC=CN&NR=117808746A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>HUANG BOCAI</creatorcontrib><creatorcontrib>LIANG JIACHENG</creatorcontrib><creatorcontrib>LIU SHAOJUN</creatorcontrib><creatorcontrib>HUANG DAOPING</creatorcontrib><title>Fruit quality grading method based on image processing</title><description>The invention discloses a fruit quality grading method based on image processing. The method comprises the following steps: shooting fruit surface images from multiple angles through a camera; pre-processing the shot image, wherein the pre-processing comprises methods of Gaussian filtering, threshold segmentation and the like; extracting color features and size features of the fruit surface, performing region segmentation on defect candidate regions of the fruit surface, and constructing a data set of the defect candidate regions; training a model capable of identifying a defect area and a fruit stem area by using the data set of the defect candidate area; identifying the extracted region part by using the trained network model to obtain feature data of the defect; and classifying fruit quality grades according to a set fruit grading standard by utilizing the obtained characteristics such as the color characteristics, the size characteristics and the defect areas of the fruits, so as to finish fruit quality g</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZDBzKyrNLFEoLE3MySypVEgvSkzJzEtXyE0tychPUUhKLE5NUcjPU8jMTUxPVSgoyk9OLS4GKuBhYE1LzClO5YXS3AyKbq4hzh66qQX58anFBYnJqXmpJfHOfoaG5hYGFuYmZo7GxKgBAJ5yLZ0</recordid><startdate>20240402</startdate><enddate>20240402</enddate><creator>HUANG BOCAI</creator><creator>LIANG JIACHENG</creator><creator>LIU SHAOJUN</creator><creator>HUANG DAOPING</creator><scope>EVB</scope></search><sort><creationdate>20240402</creationdate><title>Fruit quality grading method based on image processing</title><author>HUANG BOCAI ; LIANG JIACHENG ; LIU SHAOJUN ; HUANG DAOPING</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN117808746A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>HUANG BOCAI</creatorcontrib><creatorcontrib>LIANG JIACHENG</creatorcontrib><creatorcontrib>LIU SHAOJUN</creatorcontrib><creatorcontrib>HUANG DAOPING</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>HUANG BOCAI</au><au>LIANG JIACHENG</au><au>LIU SHAOJUN</au><au>HUANG DAOPING</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Fruit quality grading method based on image processing</title><date>2024-04-02</date><risdate>2024</risdate><abstract>The invention discloses a fruit quality grading method based on image processing. 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subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS |
title | Fruit quality grading method based on image processing |
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