scholarly journals Contrast Enhancement of Digital Images Using an Improved Type-II Fuzzy Set-Based Algorithm

2021 ◽  
Vol 38 (1) ◽  
pp. 39-50
Author(s):  
Zohair Al-Ameen
Keyword(s):  
Fuzzy Set ◽  
Quality Evaluation ◽  
Low Complexity ◽  
Correction Method ◽  
Image Feature ◽  
Type Ii ◽  
Gamma Correction ◽  
Low Contrast ◽  
High Resolution Images ◽  
Grayscale Images

Contrast is a distinctive image feature that tells if it has adequate visual quality or not. On many occasions, images are captured with low-contrast due to inevitable obstacles. Therefore, an improved type-II fuzzy set-based algorithm is developed to enhance the contrast of various color and grayscale images properly while preserving the brightness and providing natural colors. The proposed algorithm utilizes new upper and lower ranges, amended Hamacher t-conorm, and a transform-based gamma correction method to provide the enhanced images. The proposed algorithm is assessed with artificial and real contrast distorted images, compared with twelve specialized methods, and the outcomes are evaluated using four advanced metrics. From the obtained results of experiments and comparisons, the developed algorithm demonstrated the ability to process various color and grayscale images, performed the best among the comparative methods, and scored the best in all four quality evaluation metrics. The findings of this study are significant because the proposed algorithm has low-complexity and can adjust the contrast of different images expeditiously, which enables it to be used with different imaging modalities especially those with limited hardware resources or produce high-resolution images.

Field Emission SEM Equipped With Noise Compensator

1973 ◽  
Vol 31 ◽  
pp. 302-303
Author(s):  
S. Saito ◽  
H. Todokoro ◽  
S. Nomura ◽  
T. Komoda
Keyword(s):  
Electron Microscope ◽  
High Resolution ◽  
Scanning Electron Microscope ◽  
Field Emission ◽  
Low Contrast ◽  
Probe Current ◽  
High Resolution Images ◽  
Scanning Electron

Field emission scanning electron microscope (FESEM) features extremely high resolution images, and offers many valuable information. But, for a specimen which gives low contrast images, lateral stripes appear in images. These stripes are resulted from signal fluctuations caused by probe current noises. In order to obtain good images without stripes, the fluctuations should be less than 1%, especially for low contrast images. For this purpose, the authors realized a noise compensator, and applied this to the FESEM.Fig. 1 shows an outline of FESEM equipped with a noise compensator. Two apertures are provided gust under the field emission gun.

Gamma Correction Method Based on Phase-shifting Keying

2021 ◽  
Author(s):  
Yucheng Liao ◽  
Shiqian Wu ◽  
Gaoxu Deng ◽  
Bin Chen ◽  
Jie Li
Keyword(s):  
Correction Method ◽  
Phase Shifting ◽  
Gamma Correction

scholarly journals Application of two-stage fuzzy set theory to river quality evaluation in Taiwan

2003 ◽  
Vol 37 (6) ◽  
pp. 1406-1416 ◽  
Author(s):  
Shiow-Mey Liou ◽  
Shang-Lien Lo ◽  
Ching-Yao Hu
Keyword(s):  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Quality Evaluation ◽  
Two Stage ◽  
River Quality

“Soft Error” Correction Method Based on Low Complexity Coding and Encoding Algorithm

2014 ◽  
Vol 556-562 ◽  
pp. 6344-6349
Author(s):  
Yan Kang Wei ◽  
Da Ming Wang ◽  
Wei Jia Cui
Keyword(s):  
Fault Tolerance ◽  
Error Correction ◽  
Fault Tolerant ◽  
Low Complexity ◽  
Correction Method ◽  
Block Codes ◽  
Decoding Algorithms ◽  
Linear Block Codes ◽  
Data Errors ◽  
Linear Block

SEU is one of the major challenges affecting the reliability of computers on-board. In this paper, we design a kind of encoding and decoding algorithms with a low complexity based on the data correction method to resolve the data stream errors SEU may bring. Firstly, we use the theory of linear block codes to analyze various methods of data fault tolerance, and then from the encoding and decoding principle of linear block codes we design a kind of encoding and decoding algorithms with a low complexity of linear block code, The fault-tolerant coding method can effectively correct single-bit data errors caused by SEU, with low fault-tolerant overhead. Fault injection experiments show that: this method can effectively correct data errors caused by single event upset. Compared with other common error detection or correction methods, error correction performance of this method is superior, while its fault tolerance cost is less.

Quality Evaluation of Kiwi Wine

2006 ◽  
Vol 2 (4) ◽  
Author(s):  
Bangzhu Peng ◽  
Tianli Yue ◽  
Yahong Yuan
Keyword(s):  
Fuzzy Set ◽  
Quality Evaluation ◽  
Solid Phase ◽  
Evaluation Process ◽  
Wine Industry ◽  
Gas Chromatography Mass Spectrometry ◽  
Wine Quality ◽  
Internal Standards ◽  
Comprehensive Method ◽  
Aroma Components

This paper proposes a fuzzy set approach that integrates objective and subjective information to evaluating kiwi wine quality. The 10 different kiwi wines experimentally were conducted firstly sensory evaluation. Then the contents of principal aroma components were identified and determined by the Headspace-Solid phase Microextraction-Gas Chromatography-Mass Spectrometry using quantitative standards with known amounts of target components and 3-Octanol as internal standards. The result of fuzzy set approach to assess and rank the kiwi wine quality showed KW-1 as the best kiwi wine. The results and outcomes of this study suggest that the approach described in this paper is more accurate and objective than conventional methods. It provides a comprehensive method for dealing with incomplete and imprecise information to support the whole evaluation process. This method should be utilized by the fruit wine industry around the world because of its practicability and superiority.

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