Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Priyadarshi Kanungo"'
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 8, Iss , Pp 100498- (2024)
Medical imaging plays a vital role in detecting and treating brain tumors. Malignant or non-malignant brain tissue’s abnormal growth causes long-term brain damage. It is crucial to detect and properly categorize the kind of brain tumor. Specialists
Externí odkaz:
https://doaj.org/article/df3d067225614c5782d6d6937c5ab0b5
Autor:
Tapaswini Pattnaik, Priyadarshi Kanungo, Prabodh Kumar Sahoo, Tejaswini Kar, Prince Jain, Mohamed S. Soliman, Mohammad Tariqul Islam
Publikováno v:
IEEE Access, Vol 12, Pp 118315-118338 (2024)
The most popular technique for converting two-class images into binary images is thresholding. However, thresholding methods tend to perform poorly when dealing with images affected by uneven lighting. To address this issue, local thresholding techni
Externí odkaz:
https://doaj.org/article/aac881db02c7459e8ff35b07cceecc5a
Multiple linear regression based illumination normalization for non-uniform light image thresholding
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 7, Iss , Pp 100411- (2024)
Thresholding-based two-class image binarization is one of the simplest and most popular approaches. However, the performance of global thresholding degrades under non-uniform lighting conditions. Local thresholding methods are widely used for binariz
Externí odkaz:
https://doaj.org/article/324f9e7cd6744a8ebfb914719ea2066b
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 8, Pp 5296-5304 (2022)
With the increase in demand for video conferencing and IOT applications, efficient video coding standards are necessary. The performance of MPEG-4 coding scheme depends on the efficiency of the video object plane (VOP) generation methods. In head and
Externí odkaz:
https://doaj.org/article/d04a9e10b7b64000971fc9b4c3a86d96
Publikováno v:
Complex & Intelligent Systems, Vol 9, Iss 4, Pp 3601-3612 (2021)
Abstract Lane detection (LD) under different illumination conditions is a vital part of lane departure warning system and vehicle localization which are current trends in the future smart cities. Recently, vision-based methods are proposed to detect
Externí odkaz:
https://doaj.org/article/097453308b0d4fe5be4fa816d61e1b06
Publikováno v:
ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 20, Iss 1 (2021)
Selection of appropriate size of windows or subimages is the most important step for thresholding images with non-uniform lighting. In this paper, a novel criteria function is developed to partition images into different size of sub images appropriat
Externí odkaz:
https://doaj.org/article/d0e2c923db984252b2baade3fbcbd048
Publikováno v:
ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 6, Iss 3 (2007)
In this paper, two novel strategies have been proposed to obtain segmentation of an object and background in a given scene. The first one, known as Featureless(FL) approach, deals with the histogram of the original image where Parallel Genetic Algori
Externí odkaz:
https://doaj.org/article/2f1a09209b2047e1bd813e2296338c5d
Publikováno v:
2022 OITS International Conference on Information Technology (OCIT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e8f43c194fa429eb6e66e317f5cb7e5
https://doi.org/10.1109/ocit56763.2022.00112
https://doi.org/10.1109/ocit56763.2022.00112
Publikováno v:
2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b67e51f0d9295b8e60c03f74f70f8a48
https://doi.org/10.1109/iccubea54992.2022.10010855
https://doi.org/10.1109/iccubea54992.2022.10010855
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bbe39d5e6bc63a04fe3c4e22eee428f2
https://doi.org/10.2139/ssrn.4155320
https://doi.org/10.2139/ssrn.4155320