Parameter-free fuzzy histogram equalisation with illumination preserving characteristics dedicated for contrast enhancement of magnetic resonance images

Renuka, S.; Edla, Damodar Reddy; Joseph, Justin; Kuppili, Venkatanareshbabu

doi:10.1016/j.asoc.2020.106364

Cited by 21 publications

(5 citation statements)

References 25 publications

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“…The proposed algorithm can effectively suppress the noise, enhance the edges and details of the image, and have better visual effects. Simi et al [18] proposed a new parameter-free fuzzy histogram equalization algorithm for MRI contrast enhancement, which has a good illuminance preservation property.…”

Section: Related Workmentioning

confidence: 99%

An adaptive enhancement method based on stochastic parallel gradient descent of glioma image

Wang,

Peng,

et al. 2023

IET Image Processing

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Brain tumour diagnosis is significant for both physicians and patients, but the low contrast and the artefacts of MRI glioma images always affect the diagnostic accuracy. The existing mainstream image enhancement methods are insufficient in improving contrast and suppressing artefacts simultaneously. To enrich the field of glioma image enhancement, this research proposed a glioma image enhancement method based on histogram modification and total variational using stochastic parallel gradient descent (SPGD) algorithm. Firstly, this method modifies the cumulative distribution function on the image histogram and performs gamma correction on the image according to the modified histogram to obtain a contrast‐enhanced image. Then, the method suppresses the artefacts of glioma images by total variational and wavelet denoising algorithm. To get better enhancement images, the optimal parameters in the proposed method are searched by the SPGD algorithm. The statistical studies performed on 580 real glioma images demonstrate that the authors’ approach can outperform the existing mainstream image enhancement methods. The results show that the proposed method increases the discrete entropy of the image by 8.9% and the contrast by 2.8% compared to original images. The enhanced images are produced by the proposed method with a natural appearance, appealing contrast, less degradation, and reasonable detail preservation.

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Section: Related Workmentioning

confidence: 99%

An adaptive enhancement method based on stochastic parallel gradient descent of glioma image

Wang,

Peng,

et al. 2023

IET Image Processing

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“…This comparison of the merits and limitations of the three methods is summarised in Table 7. Although Figure 7 can present profiles of defects on different substrates, it is recommended in future studies to use a fuzzy image pre-processing technique [38,39] to better delineate the contours between the individual areas. For the second case study, the water was drained from the previous set up and garden soil was compacted in the aluminium test rig before being covered by the membrane, ensuring good thermal contact between the membrane and soil.…”

Section: Case 1: Inspection Of Defects On Water and Air Substratesmentioning

confidence: 99%

Detection of Defects in Geomembranes Using Quasi-Active Infrared Thermography

Rose

Wong

et al. 2021

Sensors

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High-density polyethylene geomembranes are employed as covers for the sewage treatment lagoons at Melbourne Water Corporation’s Western Treatment Plant, to harvest the biogas produced during anaerobic degradation, which is then used to generate electricity. Due to its size, inspecting the cover for defects, particularly subsurface defects, can be challenging, as well as the potential for the underside of the membrane to come into contact with different substrates, viz. liquid sewage, scum (consolidated solid matter), and biogas. This paper presents the application of a novel quasi-active thermography inspection method for subsurface defect detection in the geomembrane. The proposed approach utilises ambient sunlight as the input thermal energy and cloud shading as the trigger for thermal transients. Outdoor laboratory-scale experiments were conducted to study the proposed inspection technique. A pyranometer was used to measure the intensity of solar radiation, and an infrared thermal camera was used to measure the surface temperature of the geomembrane. The measured temperature profile was analysed using three different algorithms for thermal transient analysis, based on (i) the cooling constant from Newton’s law of cooling, (ii) the peak value of the logarithmic second derivative, and (iii) a frame subtraction method. The outcomes from each algorithm were examined and compared. The results show that, while each algorithm has some limitations, when used in combination the three algorithms could be used to distinguish between different substrates and to determine the presence of subsurface defects.

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“…Enhancement of the contrast of an image is a fundamental task in image signal processing. Traditionally, Contrast Stretching (CS), Contrast Transformation (CT) and Histogram Equalisation (HE) are the three fundamental techniques often adopted in the enhancement of the image contrast [9]. The HE has gained much popularity among these techniques, which culminated into incursion of different variants of it in the image processing literature.…”

Section: Introductionmentioning

confidence: 99%

“…However, it is worthy of note here that BHE, WTHE and CLAHE represent the three basic modified variants of the HE. Furthermore, both WTHE and CLAHE have internal structures that make the manual setting of the parameters of the method for contrast control and brightness error possible: they are tuned in order to attain the desired results but this is a laborious process [9,24]. To alleviate this problem, [9] proposed Parameter-Free Fuzzy-histogram Equalisation (PFHE); a global mapping scheme that allows for achieving application specific enhancement performance.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, both WTHE and CLAHE have internal structures that make the manual setting of the parameters of the method for contrast control and brightness error possible: they are tuned in order to attain the desired results but this is a laborious process [9,24]. To alleviate this problem, [9] proposed Parameter-Free Fuzzy-histogram Equalisation (PFHE); a global mapping scheme that allows for achieving application specific enhancement performance. In this work, Texture Fuzzy Subset (TFS) are evaluated with respect to the similarity of the fuzzy values in the test image along with their connected neighbours.…”

Section: Introductionmentioning

confidence: 99%

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Optimised enhancement scheme for low contrast underwater images

et al. 2020

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Images acquired in underwater environments are usually affected by light absorption and scattering. These are the two phenomena that reduce the clarity of images that are captured in these environments. These factors cause low contrast and anamorphic colour diffusion. To tackle these issues, we propose an optimized low contrast enhancement scheme. The main thrust of this paper borders on enhancement of underwater image contrast by preserving the brightness level. The approach is termed Fuzzy-Histogram Equalisation Optimised for Brightness Preservation (FHEOBP) technique, where a combination of fuzzy and classical histogram equalisation techniques is employed towards the enhancement of the contrast of images from underwater scene. The scheme is optimized using teaching-learning-based optimisation technique that is built into the algorithm. The proposed FHEOBP filter shows improved performance over Local Histogram Equalisation (LHE) and Global Histogram Equalisation (GHE) as it has a higher luminance distortion index value than those of LHE and GHE. This translates into a better image details preservation. In fact, the computed luminance distortion indices for optimised FHEOBP are 16.4%, 28.3% and 20.1%, respectively higher than those of the corresponding GHE, in the same test images utilised for performance evaluation. Between the optimised and non-optimised FHEOBP, luminance distortion figures of optimised FHEOBP are 8%, 6.8% and 9.8% higher than those of the equivalent non-optimised FHEOBP in the test image data set.

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Parameter-free fuzzy histogram equalisation with illumination preserving characteristics dedicated for contrast enhancement of magnetic resonance images

Cited by 21 publications

References 25 publications

An adaptive enhancement method based on stochastic parallel gradient descent of glioma image

An adaptive enhancement method based on stochastic parallel gradient descent of glioma image

Detection of Defects in Geomembranes Using Quasi-Active Infrared Thermography

Optimised enhancement scheme for low contrast underwater images

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