Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Jiangsheng, Gui"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Lung images often have the characteristics of strong noise, uneven grayscale distribution, and complex pathological structures, which makes lung image segmentation a challenging task. To solve this problems, this paper proposes an initial lu
Externí odkaz:
https://doaj.org/article/43155c1de4b94b6a87bdf7fd318f16b4
Publikováno v:
International Journal of Advanced Computer Science & Applications; 2024, Vol. 15 Issue 11, p1185-1192, 8p
Publikováno v:
Information Processing in Agriculture, Vol 8, Iss 3, Pp 380-385 (2021)
Soybean is a crop with a long cultivation history that occupies an important position in agricultural production. Soybean mosaic virus disease (SMV) has caused a rapid decline in soybean yields, causing huge losses to the soybean industry, wherefrom
Externí odkaz:
https://doaj.org/article/f71d5c4a1e98442490974d4da57a9f2b
Publikováno v:
Sensors, Vol 23, Iss 2, p 678 (2023)
Soybean plays an important role in food, medicine, and industry. The quality inspection of soybean is essential for soybean yield and the agricultural economy. However, soybean pest is an important factor that seriously affects soybean yield, among w
Externí odkaz:
https://doaj.org/article/83063f9a385148e199e90c07ef2146ee
Publikováno v:
2021 8th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS).
Autor:
Mor Mbaye, Jiangsheng Gui
Publikováno v:
International Journal of Engineering Research and.
Publikováno v:
IET Image Processing (Wiley-Blackwell). Apr2021, Vol. 15 Issue 5, p1083-1092. 10p.
Publikováno v:
Sensors & Transducers, Vol 178, Iss 9, Pp 182-187 (2014)
Shape is not only an important indicator for assessing the grade of the apple, but also the important factors for increasing the value of the apple. In order to improve the apple shape classification accuracy rate, an approach for apple shape sorting
Publikováno v:
Sensors & Transducers, Vol 159, Iss 11, Pp 32-38 (2013)
The method of color image segmentation based on Fuzzy C-Means (FCM) clustering is simple, intuitive and is to be implemented. However, the clustering performance is affected by the center point of initialization and high computation and other issues.
Publikováno v:
Journal of Zhejiang University-SCIENCE A. 8:1232-1236
A novel approach for fruit shape detection in RGB space was proposed, which was based on fast level set and Chan-Vese model named as Modified Chan-Vese model (MCV). This new algorithm is fast and suitable for fruit sorting because it does not need re