Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Lavdie Rada"'
Publikováno v:
Alexandria Engineering Journal, Vol 61, Iss 12, Pp 12353-12365 (2022)
Joint image segmentation and registration of multi-modality images is a crucial step in the field of image prepossessing. The sensitivity of joint segmentation and registration models to noise is a significant challenge. During the registration proce
Externí odkaz:
https://doaj.org/article/0d58f22484a54ac4af9e8a1406bab26d
Deep Learning-Based Vector Mosquitoes Classification for Preventing Infectious Diseases Transmission
Publikováno v:
Image Analysis and Stereology, Vol 41, Iss 3, Pp 203-215 (2022)
Healthcare systems worldwide are burdened by mosquitoes transmitting dangerous diseases. Conventional mosquito surveillance methods to alleviate these diseases are based on expert entomologists’ manual examination of the morphological characteristi
Externí odkaz:
https://doaj.org/article/9e3a0b121bc34436ae4a4bb9999c15d3
Autor:
Lutful Mabood, Noor Badshah, Haider Ali, Muhammad Zakarya, Aftab Ahmed, Ayaz Ali Khan, Lavdie Rada, Muhammad Haleem
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-18 (2022)
Abstract Segmentation of noisy images having light in the background it is a challenging task for the existing segmentation approaches and methods. In this paper, we suggest a novel variational method for joint restoration and segmentation of noisy i
Externí odkaz:
https://doaj.org/article/9eb079ac99ba4b57a31ce513d777a266
Autor:
Afzal Rahman, Haider Ali, Noor Badshah, Lavdie Rada, Ayaz Ali Khan, Hameed Hussain, Muhammad Zakarya, Aftab Ahmed, Izaz Ur Rahman, Mushtaq Raza, Muhammad Haleem
Publikováno v:
IEEE Access, Vol 10, Pp 22344-22358 (2022)
Selective image segmentation is one of the most significant subjects in medical imaging and real-world applications. We present a robust selective segmentation model based on local spatial distance utilizing a dual-level set variational formulation i
Externí odkaz:
https://doaj.org/article/c7eb51dddf51421fafee63bc28539526
Publikováno v:
Journal of Algorithms & Computational Technology, Vol 14 (2020)
Image segmentation and registration are closely related image processing techniques and often required as simultaneous tasks. In this work, we introduce an optimization-based approach to a joint registration and segmentation model for multimodal imag
Externí odkaz:
https://doaj.org/article/33cffca7c75b45dd8c681cfac9738388
Publikováno v:
Journal of Algorithms & Computational Technology, Vol 10 (2016)
Image segmentation and registration are two of the most challenging tasks in medical imaging. They are closely related because both tasks are often required simultaneously. In this article, we present an improved variational model for a joint segment
Externí odkaz:
https://doaj.org/article/1457239ba4e04b729dd708baf9cd0d40
Autor:
Lavdie Rada, Ke Chen
Publikováno v:
Journal of Algorithms & Computational Technology, Vol 7 (2013)
Variational segmentation models have proven to be extremely efficient for segmenting and tracking boundaries and in most cases all of the boundaries in an image. Such models are for global segmentation. For a large class of image segmentation tasks w
Externí odkaz:
https://doaj.org/article/5a19a8d6f2414b54853f54a928e831ad
Autor:
Muhammad Shahkar Khan, Haider Ali, Muhammad Zakarya, Santosh Tirunagari, Ayaz Ali Khan, Rahim Khan, Aftab Ahmed, Lavdie Rada
Publikováno v:
Soft Computing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3b70e9021211791862355c0e59acdf3
https://doi.org/10.1007/s00500-023-08173-1
https://doi.org/10.1007/s00500-023-08173-1
Autor:
Lavdie RADA
Publikováno v:
Volume: 4, Issue: 2 32-37
Natural and Applied Sciences Journal
Natural and Applied Sciences Journal
Accurate boundary determination and segmentation of an object of interest in an image is a difficult image segmentation task. In this paper, we propose a new model which improves the old selective segmentation of Rada et al. [23] by combining two pen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d00b8057e8f52720f4ff76c6fdce1f1e
https://doi.org/10.38061/idunas.932338
https://doi.org/10.38061/idunas.932338
Autor:
Muhammad Shahkar Khan, Haider Ali, Muhammad Zakarya, Santosh Tirunagari, Ayaz Ali Khan, Rahim Khan, Aftab Ahmed, Lavdie Rada
The challenge of segmentation for noisy images, especially those that have light in their backgrounds, is still exists in many advanced state-of-the-art segmentation models. Furthermore, it is significantly difficult to segment such images. In this a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ea373381b1d54f772dd31b54529ce13
https://doi.org/10.21203/rs.3.rs-2391118/v1
https://doi.org/10.21203/rs.3.rs-2391118/v1
