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