Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Baljit Singh Khehra"'
Publikováno v:
Egyptian Informatics Journal, Vol 20, Iss 1, Pp 11-25 (2019)
Image thresholding is one of the most important approaches for image segmentation. Among multilevel thresholding techniques, cross entropy has been widely used by researchers to find multilevel threshold values. In multilevel cross entropy thresholdi
Externí odkaz:
https://doaj.org/article/10e6500376e4423aa0f1525116a3149f
Publikováno v:
Egyptian Informatics Journal, Vol 17, Iss 1, Pp 11-20 (2016)
The classifier is the last phase of Computer-Aided Diagnosis (CAD) system that is aimed at classifying Clustered Microcalcifications (MCCs). Classifier classifies MCCs into two classes. One class is benign and other is malignant. This classification
Externí odkaz:
https://doaj.org/article/f26a75142dd349ecbfb8896f84f30f05
Publikováno v:
Egyptian Informatics Journal, Vol 16, Iss 1, Pp 133-150 (2015)
The fuzzy 2-partition entropy approach has been widely used to select threshold value for image segmenting. This approach used two parameterized fuzzy membership functions to form a fuzzy 2-partition of the image. The optimal threshold is selected by
Externí odkaz:
https://doaj.org/article/5d5331ae31ed4329a6a778b18a647074
Autor:
Ramanjot Kaur, Baljit Singh Khehra
Publikováno v:
International Journal of Information System Modeling and Design. 13:1-32
In this study, the integrated modified whale optimization and modified fuzzy c-means clustering algorithm using morphological operations are developed and implemented for appropriate knowledge extraction of a cyst from computer tomography (CT) images
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f0d181ace2cf01277e492830b5ef2ca
https://doi.org/10.4018/ijismd.306644
https://doi.org/10.4018/ijismd.306644
Publikováno v:
Journal of The Institution of Engineers (India): Series B. 103:1619-1642
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9f95b8c953498f9fbf969236e4c5a75
https://doi.org/10.1007/s40031-022-00740-8
https://doi.org/10.1007/s40031-022-00740-8
Autor:
Harmandeep Singh Gill, Ganpathy Murugesan, Baljit Singh Khehra, Guna Sekhar Sajja, Gaurav Gupta, Abhishek Bhatt
Publikováno v:
Multimedia Tools and Applications. 81:33269-33290
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::588e4632ed9ee7453943ff1e275ae2be
https://doi.org/10.1007/s11042-022-12868-2
https://doi.org/10.1007/s11042-022-12868-2
Publikováno v:
Multimedia Tools and Applications. 81:17509-17526
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c521a6832526382438cf59a2bd18fce
https://doi.org/10.1007/s11042-022-12017-9
https://doi.org/10.1007/s11042-022-12017-9
Publikováno v:
Materials Today: Proceedings. 51:591-595
With the advancement in technology, Computer and machine vision system is getting involved in the agriculture sector for the last few years. Deep Learning is a recent advancement in the Artificial Intelligence field. In the present era, many research
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f710e4eee3477df04df929c0e6e5c9a
https://doi.org/10.1016/j.matpr.2021.06.016
https://doi.org/10.1016/j.matpr.2021.06.016
Autor:
Ramanjot Kaur, Baljit Singh Khehra
Publikováno v:
2022 5th International Conference on Contemporary Computing and Informatics (IC3I).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97d7900a7a11d4d1b202af4e3673590a
https://doi.org/10.1109/ic3i56241.2022.10072607
https://doi.org/10.1109/ic3i56241.2022.10072607
Fruit classification is noticed as the one of the looming sectors in computer vision and image classification. A fruit classification may be adopted in the fruit market for consumers to determine the variety and grading of fruits. Fruit quality is a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e420c1e4756d500a649d904eac4451ae
https://doi.org/10.21203/rs.3.rs-574901/v1
https://doi.org/10.21203/rs.3.rs-574901/v1
