Common External Defect Detection of Mangoes Using Color Computer Vision (Record no. 11363)
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| 000 -LEADER | |
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| fixed length control field | a |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250408123018.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 200220b xxu||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | AIKTC-KRRC |
| Transcribing agency | AIKTC-KRRC |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 12408 |
| Author | Patel, K. K. |
| 245 ## - TITLE STATEMENT | |
| Title | Common External Defect Detection of Mangoes Using Color Computer Vision |
| 250 ## - EDITION STATEMENT | |
| Volume, Issue number | Vol.100(4), Dec |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | New York |
| Name of publisher, distributor, etc. | Springer |
| Year | 2019 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Pagination | 559-568p. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Development methodology of color computer vision for defects detection of two commercial varieties (Chausa and Dashehari) of Indian mangoes has been proposed in this research. First, images of the fruits of both cultivars were acquired using color (RGB) camera and proper lighting regime and arrangement to avoid highlights and light reflection. Second, an algorithm was developed for pre-processing and processing to segment the external defects of mangoes using LabView software. After image processing and filtering the defected particles, the number of pixels was counted whose gray level was found to be lower than the threshold value during the particle analysis. Performance of algorithm was also evaluated in terms of accuracy, efficiency and the overall time taken by the image during processing and analysis. The overall accuracy and efficiency of proposed algorithm was found to be 88.6% and 93.3%, respectively. The average time of inspection was found to be increased as the severity of defects on mango fruit’s surface increased. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 4690 |
| Topical term or geographic name entry element | Construction Engineering and Management (ME-CE) |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 12409 |
| Co-Author | Kar, A. |
| 773 0# - HOST ITEM ENTRY | |
| International Standard Serial Number | 2250-2149 |
| Place, publisher, and date of publication | Switzerland Springer |
| Title | Journal of the institution of engineers (India): Series A |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| URL | https://link.springer.com/article/10.1007/s40030-019-00396-6 |
| Link text | Click here |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Articles Abstract Database |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Barcode | Date last seen | Price effective from | Koha item type |
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| Dewey Decimal Classification | School of Engineering & Technology (PG) | School of Engineering & Technology (PG) | Archieval Section | 20/02/2020 | 2021044 | 20/02/2020 | 20/02/2020 | Articles Abstract Database |