Research on Improved Image Enhancement Algorithm Based on Fuzzy Set

2012 ◽  
Vol 605-607 ◽  
pp. 2201-2205
Author(s):  
Xi Wen Liu ◽  
Chao Ying Liu
Keyword(s):  
Image Enhancement ◽  
Fuzzy Set ◽  
Continuous Functions ◽  
The Other ◽  
Fuzzy Enhancement ◽  
Good Ability ◽  
Otsu Method ◽  
Membership Grade ◽  
Simulation Results ◽  
Enhancement Algorithm

According to the shortcomings of the traditional fuzzy enhancement algorithms, several improvements are proposed. In this improved algorithm, the membership grade functions and fuzzy enhancement operator are made up of piecewise and continuous functions, the image is divided into two regions by OTSU method, one is high grey region, the other is low grey region, pixels in the high grey region are enhanced, and pixels in the low grey region are reduced. Simulation results show that this algorithm has good ability to enhance blur and little edges, and it is an effective and efficient way to increase image’s contrast.

Automatic Airport Extraction Based on Improved Fuzzy Enhancement

2011 ◽  
Vol 130-134 ◽  
pp. 3421-3424
Author(s):  
Li Pan ◽  
Zhao Xian Liu
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Image Enhancement ◽  
High Speed ◽  
Good Effect ◽  
Remote Sensing Images ◽  
Fuzzy Enhancement ◽  
Region Labeling ◽  
Strong Robustness ◽  
Enhancement Algorithm

We put forward a process of automatic airport extraction based on the characteristics of high resolution remote sensing images. First, through image enhancement algorithm, the contrast of target and background is enhanced. Second, we can extract the possible airport through the algorithms of Ostu segmentation, mathematical morphology corrosion and region-labeling. Finally, combined with the geometric structure of the runway, the airfield runway can be extracted through the algorithms of edge detection, progressive probability Hough transform and line connection. Then the possible airport can be verified by the extracted airfield runway. In the process, we proposed an improved fuzzy enhancement algorithm for image enhancement. This algorithm has good effect on the image enhancement and has strong robustness. The results of the experiment indicate that the process of automatic airport extraction is robust and has the advantages of high speed and degree of automation.

A New Method of Fundus Image Enhancement Based on Rough Set and Wavelet Transform

2013 ◽  
Vol 397-400 ◽  
pp. 2205-2208
Author(s):  
Wen Dong Zhao ◽  
You Dong Zhang ◽  
Chun Xia Jin
Keyword(s):  
Wavelet Transform ◽  
Image Enhancement ◽  
Rough Set ◽  
Fundus Images ◽  
Fundus Image ◽  
Visual Effects ◽  
Multi Scale ◽  
Fuzzy Enhancement ◽  
Enhancement Algorithm ◽  
Number Of Iterations

Fundus images are complex images with more details, and on the basis of the inadequate fuzzy enhancement algorithm proposed by Pal et al, this article propose an improved algorithm of rough set for fundus image enhancement. The fundus image will be multi-scale decomposed by wavelet transform firstly, and then the subgraphs are enhanced by using rough set to improve the visual effects; finally the processed sub-images will be reconstructed and generated a new-enhanced image. Compared with the Pal algorithm, the new algorithm not only overcomes its weaknesses that the threshold is set with a fixed value, but also reduces the number of iterations. Experimental results show that the improved enhancement algorithm has a better effect on the fundus image enhancement, and the various details of fundus images can be shown better.

An Intuitionistic Fuzzy Based Novel Approach to CPU Scheduler

2020 ◽  
Vol 16 (4) ◽  
pp. 316-328
Author(s):  
Supriya Raheja
Keyword(s):  
Fuzzy Inference ◽  
The Other ◽  
Simulation Environment ◽  
Inference System ◽  
Intuitionistic Fuzzy ◽  
Novel Approach ◽  
Continuous Feedback ◽  
Simulation Results ◽  
Effectiveness And Efficiency ◽  
Unique Capability

Background: The extension of CPU schedulers with fuzzy has been ascertained better because of its unique capability of handling imprecise information. Though, other generalized forms of fuzzy can be used which can further extend the performance of the scheduler. Objectives: This paper introduces a novel approach to design an intuitionistic fuzzy inference system for CPU scheduler. Methods: The proposed inference system is implemented with a priority scheduler. The proposed scheduler has the ability to dynamically handle the impreciseness of both priority and estimated execution time. It also makes the system adaptive based on the continuous feedback. The proposed scheduler is also capable enough to schedule the tasks according to dynamically generated priority. To demonstrate the performance of proposed scheduler, a simulation environment has been implemented and the performance of proposed scheduler is compared with the other three baseline schedulers (conventional priority scheduler, fuzzy based priority scheduler and vague based priority scheduler). Results: Proposed scheduler is also compared with the shortest job first CPU scheduler as it is known to be an optimized solution for the schedulers. Conclusion: Simulation results prove the effectiveness and efficiency of intuitionistic fuzzy based priority scheduler. Moreover, it provides optimised results as its results are comparable to the results of shortest job first.

A Multiregion Model with Capital Accumulation and Endogenous Amenities

2007 ◽  
Vol 39 (9) ◽  
pp. 2248-2270 ◽  
Author(s):  
Wei-Bin Zhang
Keyword(s):  
Capital Accumulation ◽  
Comparative Statics ◽  
The Other ◽  
High Rate ◽  
Unique Equilibrium ◽  
Economic Activities ◽  
Technological Differences ◽  
National Output ◽  
Simulation Results ◽  
Wage Disparities

The author develops a multiregional growth model with endogenous amenity and capital accumulation for any number of regions. The simulation results demonstrate that the national dynamics have a unique equilibrium. Comparative statics analysis shows that, if environmental improvement occurs in the technologically advanced (less advanced) region, the national output rises (falls). As a region improves its technology, the other two regions' aggregated output levels fall—not only in relative, but also in absolute, terms. This implies that if any region has a high rate of technological change and the other regions remain technologically stationary, then economic activities will tend to be concentrated in the technologically advancing region. It is also shown that technological differences appear to play only a small role in accounting for spatial wage disparities and endowments.

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