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pro vyhledávání: '"Ramy M Bahy"'
Autor:
Ramy M. Bahy
Publikováno v:
International Journal of Image, Graphics and Signal Processing. 10:18-24
Autor:
Ramy M Bahy
Publikováno v:
Journal of Physics: Conference Series. 1721:012057
This paper presents a new efficient enhanced automatic target recognition approach based on hybrid feature and intensity based methods. The proposed approach is based on comparison and matching between the acquired target image and the stored databas
Autor:
Ramy M. Bahy
Publikováno v:
Journal of Physics: Conference Series. 1721:012058
Blurred (out-of-focus) images hinder the process of accurate cell counting in medical images. Cell counting is considered an important method to quantify cells for disease diagnosis and medical research. The hemocytometer is used to count cells as it
Autor:
Ramy M. Bahy, Jian-Yu Wang
Publikováno v:
Artificial Intelligence Science and Technology.
Publikováno v:
Signal Processing. 103:155-167
Super Resolution (SR) is the process of enhancing the visual quality of a sequence of observed low-resolution images by constructing a single high-resolution image. This paper is interested in the super resolution of multi-focus low-resolution images
Publikováno v:
International Conference on Aerospace Sciences and Aviation Technology. 11:1-10
The transmission of image data acquired by remote sensing missions, based on space borne platforms is a major bottleneck, as a result of the limitation of on-board power, the huge volume of transmitted data, and the number of accessible ground receiv
Publikováno v:
The International Conference on Electrical Engineering. 5:1-8
Publikováno v:
2012 29th National Radio Science Conference (NRSC).
Image registration is the process of finding a transformation that aligns one image to another. Most researchers who are interested in the registration task don't take into consideration the out-of-focus phenomenon that might affect the accuracy of t
Publikováno v:
2011 28th National Radio Science Conference (NRSC).
This paper presents a new partition fusion technique for multi-focus images based on a no-reference blur metric. The no-reference blur metric is used to evaluate the amount of blur in images whereby, in many practical applications the original images