Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Khairul Adilah Ahmad"'
Publikováno v:
Journal of Computing Research and Innovation, Vol 2, Iss 4, Pp 39-47 (2018)
This paper, a combination of edge detection and contour based segmentation approach for object contour delineation is proposed. The proposed approach employs a new methodology for segmenting the fruit contour from the indoor and outdoor natural image
Externí odkaz:
https://doaj.org/article/2a14c75f24a04d5eaec142e06a130f91
Publikováno v:
Journal of Computing Research and Innovation, Vol 1, Iss 1, Pp 74-79 (2018)
Fruit size is one of the most important features for grading Harumanis fruits. However, harvesting the fruit at the correct size is problematic for fruits growers. The aim of this paper is to discuss the use of image processing technique to classify
Externí odkaz:
https://doaj.org/article/24bfef74ac7d4606b1725f4d3534d681
Autor:
Mahmod Othman, Sharifah Lailee Syed Abdullah, Khairul Adilah Ahmad, Mohd. Nazari Abu Bakar, Ab. Razak Mansor
Publikováno v:
Journal of ICT, Vol 15, Iss 1 (2016)
Edge detection is important in image analysis to form the shape of an object. Edge is the boundary between different textures, which helps with object segmentation and recognition. Currently, several edge detection techniques are able to identify obj
Externí odkaz:
https://doaj.org/article/c8ab8e4ba59d49d2aa0f75ecab61fd93
Autor:
Zainab Othman, Nur Nabilah Abu Mansor, Nur Farhani Azmi, Nurul Hidayah Mat Zain, Khyrina Airin Fariza Abu Samah, Ismassabah Ismai, Khairul Adilah Ahmad
Publikováno v:
2021 6th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21f99bd6086823098a12cad92b8f6505
https://doi.org/10.1109/icraie52900.2021.9703898
https://doi.org/10.1109/icraie52900.2021.9703898
Publikováno v:
Proceedings of the International Conference on Computing, Mathematics and Statistics (iCMS 2015) ISBN: 9789811027703
This paper presents an approach to classify the fruit maturity of fruit grading system when a higher level of accuracy and easy interpretability of the estimate model is desired. The proposed method automatically generates membership functions (MFs)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b27302845da5be3a7ddaf4ad6ac153bd
https://doi.org/10.1007/978-981-10-2772-7_1
https://doi.org/10.1007/978-981-10-2772-7_1
Autor:
Mahmod Othman, Ab Razak Mansor, Mohd Nazari Abu Bakar, Khairul Adilah Ahmad, Tajul Rosli Razak
Publikováno v:
Regional Conference on Science, Technology and Social Sciences (RCSTSS 2014) ISBN: 9789811005329
Fruit size is one of the most important criteria for classification and grading of mangoes. Currently, the size of a mango is determined by weight. In this project, a new model for classifying mango size using RGB color sensor and fuzzy logic are des
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7be4d2716de5973a9b42b8796941b702
https://doi.org/10.1007/978-981-10-0534-3_27
https://doi.org/10.1007/978-981-10-0534-3_27
Autor:
Siti Rafidah Muhamat Dawam, Kamaruzaman Jusoff, Khairul Adilah Ahmad, Taniza Tajuddian, Shamsul Jamel Elias, Suhardi Wan Mansor
Publikováno v:
Computer and Information Science. 2
This study examines the extent of ICT utilization among the members of Faculty A of four public higher learning institutions (IPTA) and seven private higher learning institutions (IPTS) in Northern Malaysia. Its focus is on a) to investigate the exte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4285f294c7f82f47ecfbea03b9d92c93
https://doi.org/10.5539/cis.v2n4p122
https://doi.org/10.5539/cis.v2n4p122