Medical Images Enhanced by Using Fuzzy Logic Depending on Contrast Stretch Membership Function

Ali, Rafid; Abbas, Asaad; Daway, Hazim G.

doi:10.22266/ijies2021.0228.34

Cited by 11 publications

(11 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…where x i,d is the value of particle i in the d dimension and x d, max and x d, min are the upper and lower bounds of the particle in the upper dimension, respectively. e coefficient r is a random number [19,20] that obeys the uniform distribution U(0, 1) on the interval [0, 1].…”

Section: Improved Multiobjective Pso Algorithmmentioning

confidence: 99%

Taekwondo Trajectory Tracking Based on Multitarget Detection Algorithm

Zhang

2022

Mobile Information Systems

View full text Add to dashboard Cite

In order to further improve the effect of fuzzy PID controller applied to joint robot trajectory tracking control, a Taekwondo trajectory tracking method based on multitarget detection algorithm is proposed in this study. Firstly, a fuzzy PID controller for trajectory tracking of joint robot is designed. Secondly, considering the two optimization objectives of controller output torque and trajectory tracking control deviation, an improved multiobjective PSO algorithm is designed to optimize the membership function and fuzzy rules of fuzzy PID controller. Finally, the multiobjective PSO algorithm and the improved multiobjective PSO algorithm are used to optimize the trajectory tracking fuzzy PID controller. The vector sets of the two optimization objectives are obtained, and the optimization results are compared and analyzed. The simulation results show that the simulation step length is t = 0.01 s, and the total simulation time is 10 s. Using the controller, the simulation values and output torque values of each joint angle at each time can be obtained, which are used to calculate the two objective function values in the optimization algorithm. According to the process, the optimization algorithm parameters are set, and the control simulation system designed above is run to complete the improved multiobjective PSO optimization of the trajectory tracking fuzzy PID controller of the joint robot. Conclusion. The improved multiobjective PSO algorithm has better nondominated solution set, which verifies the effectiveness and superiority of the algorithm to optimize the robot trajectory tracking fuzzy PID controller.

show abstract

Section: Improved Multiobjective Pso Algorithmmentioning

confidence: 99%

Taekwondo Trajectory Tracking Based on Multitarget Detection Algorithm

Zhang

2022

Mobile Information Systems

View full text Add to dashboard Cite

show abstract

“…Image enhancement is one of the most important and popular processing steps in the digital image processing field [1,2] that reduces image noise, eliminates artifacts and preserves details [3]. Image enhancement processes specific image characteristics for analysis, diagnosis [4] and visual information with great clarity [5].…”

Section: Introductionmentioning

confidence: 99%

MRI Image Enhancement Based Fuzzy C-Mean Segment and Modified Adapted Histogram Equalization

2023

IJIES

View full text Add to dashboard Cite

A powerful magnetic field and high-frequency radio waves are used in magnetic resonance imaging (MRI) to create highly detailed images. By examining anomalies in the brain, spinal cord, muscles and liver, MRI can be utilised to identify specifics about soft tissues. MRI is very helpful in finding cancers in these tissues. Brain images from MRI often suffer from insufficient detail and contrast. This study focused on improving brain images from MRI by relying on c-mean fuzzy segmentation to enhance and preserve the detail of the images and applying adaptive histogram equalisation with the introduction of a smoothing median filter for reducing blurring and increasing contrast using the sigmoid function. The method was compared with several methods, such as local fractional entropy, Riesz fractional, dual illumination estimation, fuzzy logic based on the sigmoid membership function, fuzzy and spline based dynamic histogram equalisation and modified colour histogram equalisation, by calculating quality standards, namely, NIQE and BRISQUE. Results show that the method obtained the best results, namely, 5.4003 (NIQE) and 36.614 (BRISQUE) values.

show abstract

“…Image improvement is one of the branches of image processing it is involved in various application such as object detection [1], recognition [2], dehazing images [3], and medical optical microscopy images [4,5], which is a preliminary stage for distinction and detection [6,7]. Therefore, this study aims to improve the images captured through optical microscopy.…”

Section: Introductionmentioning

confidence: 99%

Enhancement of Microscopy Images by Using a Hybrid Technique Based on Adaptive Histogram Equalisation and Fuzzy Logic

2023

IJIES

View full text Add to dashboard Cite

The enhancement of colour medical microscopy images plays an important role in biological fields. Colour medical microscopy images have the lack of contrast and lighting. In this paper, a robust algorithm for enhancing microscopy images was proposed. In the proposed method, the image was first improved by using Contrast-Limited Adaptive Histogram Equalisation (CLAHE). Then, the luminance channel in the colour space was enhanced on the basis of sigmoid transformation and fuzzy logic. Data containing 50 medical microscopy image forms were studied, and the suggested method for enhancement was compared with several other methods, such as principal component analysis using the reflection model, fuzzy logic by stretch membership function, CLAHE, modified colour histogram equalization, contrast-enhancement based on median-mean based sub image-clipped histogram equalization and retinex method by colour restoration. The collected results illustrated that the suggested method gets excellent quality averages in terms of entropy value (7.96), average gradient (14.57) and mean of standard division (62.80).

show abstract

Medical Images Enhanced by Using Fuzzy Logic Depending on Contrast Stretch Membership Function

Cited by 11 publications

References 14 publications

Taekwondo Trajectory Tracking Based on Multitarget Detection Algorithm

Taekwondo Trajectory Tracking Based on Multitarget Detection Algorithm

MRI Image Enhancement Based Fuzzy C-Mean Segment and Modified Adapted Histogram Equalization

Enhancement of Microscopy Images by Using a Hybrid Technique Based on Adaptive Histogram Equalisation and Fuzzy Logic

Contact Info

Product

Resources

About