Automatic classification using image processing technique in matlab for orange fruits | [electronic resource]. (Record no. 67571)

MARC details
000 -LEADER
fixed length control field 02234nab a2200253 a 4500
003 - CONTROL NUMBER IDENTIFIER
control field ENAL
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220207s2021 ua ss b eng d
040 ## - CATALOGING SOURCE
Original cataloging agency EAL
Transcribing agency EAL
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
Language code of summary or abstract ara
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) ART MJAE V38 No1 4
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Mayhoub, M. A. M.
9 (RLIN) 19571
240 10 - UNIFORM TITLE
Uniform title Misr journal of agricultural engineering, 2021 v.38 (1)
Medium [electronic resource].
245 10 - TITLE STATEMENT
Title Automatic classification using image processing technique in matlab for orange fruits
Medium [electronic resource].
246 15 - VARYING FORM OF TITLE
Title proper/short title التصنيف التلقائي لثمار البرتقال باستخدام تقنية معالجة الصور في MATLAB
300 ## - PHYSICAL DESCRIPTION
Extent p. 37 – 48.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographic reference.
520 ## - SUMMARY, ETC.
Summary, etc. This research develops an automatic algorithm for orange fruits sorting image processing technique in MATLAB (7.8) program. <br/>The orange fruits were acquired using a digital camera in illumination chamber. A picture handling system was produced to <br/>quantify the volume and size of orange fruits. Surface images of every orange, caught with an advanced camera, were used <br/>in the picture preparing method. An effective calculation was structured and actualized in MATLAB (7.8) programming. <br/>The volumes figured demonstrated great concurrence with the real volumes dictated by water displacement technique. <br/>The coefficient of determination "R2" of orange was more than 98%, and the size code by the MATLAB Graphical User <br/>Interface (GUI) for orange fruits was concurrence and fast compared to the manual method for sizing. Image processing <br/>strategy palatably evaluated orange volume and size. In like manner, image processing gives a precise, straightforward, <br/>fast, and noninvasive technique to evaluate orange fruits volume and size and can be effortlessly executed in arranging <br/>of orange fruits amid postharvest processing.<br/>Keywords: Sorting, image processing, size, volume, machine vision.<br/>
546 ## - LANGUAGE NOTE
Language note Summary in Arabic.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Oranges
General subdivision Analysis
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Elhabashy, H.
9 (RLIN) 33766
773 0# - HOST ITEM ENTRY
Title Misr Journal of Agricultural Engineering.
Related parts 2021.v.38(1)
International Standard Serial Number 1687-384X
Control subfield nnas
Record control number u192786
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://nile.enal.sci.eg/EALE/2021/MJAE/3821/1/37.pdf
Public note Full Text Article
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Articles AR
Source of classification or shelving scheme alc
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Total Checkouts Full call number Date last seen Price effective from Koha item type
    Alphabetical Classification     Main Main 02/07/2022   ART MJAE V38 No1 4 02/07/2022 02/07/2022 Articles

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