New method for microscopic image enhancement in medicine

1992 ◽  
Author(s):  
Xiang-Qi Wu ◽  
Ying Chen
Keyword(s):  
Image Enhancement ◽  
New Method ◽  
Microscopic Image

scholarly journals Geometric Derivative Filter for Image Enhancement

2021 ◽  
Author(s):  
Hamid Hassanpour
Keyword(s):  
Image Processing ◽  
Image Enhancement ◽  
Mathematical Concept ◽  
New Method ◽  
Derivative Filter

This article introduces and explains geometric derivative filter as a new method for image processing and enhancing quality of images.. It's mathematical concept will be explored and some examples of applying this filter to images will we illustrated.

Microscopic image enhancement based on Fourier ptychography technique

2019 ◽  
Author(s):  
Ying Wang ◽  
Guocheng Zhou ◽  
Yao Hu ◽  
Xuemin Cheng ◽  
Qun Hao ◽  
...  
Keyword(s):  
Image Enhancement ◽  
Microscopic Image

A Microscopic Image Sharpness Metric Based on the Local Binary Pattern (LBP)

2014 ◽  
Vol 902 ◽  
pp. 330-335
Author(s):  
Jian Ning Lai ◽  
Yi Gang Wang ◽  
Sheng Li Fan
Keyword(s):  
Local Binary Pattern ◽  
New Method ◽  
Microscopic Image ◽  
Image Sharpness ◽  
Illumination Changes ◽  
Sharpness Metric ◽  
The Stability ◽  
Fixed Region

Microscopic image sharpness metric is very sensitive to illumination changes, so the research of sharpness metric methods which have better robustness to illumination is required. A new method which utilized the specialty of different orientation of Local Binary Pattern (LBP) is proposed. Firstly, the effective information and judge orientation of them at fixed region of the image is extracted. Secondly, different connected pattern is adopted to deal with different orientation region and the most robust LBP image is gotten. Finally, the sharpness metric is measured from the LBP image. The experiment results show that this method can inhibit the influence of illumination to microscopic image sharpness metric, and the stability can be improved by 83.89% averagely and 99.90% maximum.

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