Filter technique of medical image on multiple morphological gradient (MMG) method

Na’am, Jufriadif; Harlan, Johan; Syelly, Rosda; Ramadhanu, Agung

doi:10.12928/telkomnika.v17i3.9722

Cited by 6 publications

(4 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Among the various edge detection algorithms available, the concepts of gradient orientation and the direction templates are mostly applied in medical imaging. Sobel operators performs the gradient calculation in the horizontal and vertical directions [23]. The identification of the edges in the other directions are performed as a result of the extension of the direction templates to other directions.…”

Section: Related Workmentioning

confidence: 99%

Enhancement of digital chest images using a modified Sobel edge detection algorithm

Aishwarya

Joseph

2021

IJEECS

View full text Add to dashboard Cite

Computed tomography (CT) images are an essential factor in the diagnosing procedure for various diseases affecting the internal organs. Edge detection can be used for the appropriate enhancement of the lung CT scan images for the diagnosis of the various interstitial lung diseases (ILD). In order to solve the issues of edge detection provided by the traditional Sobel operator, the paper proposes a Sobel 12D edge detection algorithm which uses the additional direction templates for the better identification of the edge details. First, the vertical and horizontal directions available in the traditional Sobel operator are extended to few more directions (a total of 12 directions) which enhances the edge extraction ability. Next part, compute the edge detected image using the Sobel 12D, Laplace, Prewitt, Robert’s Cross and Scharr operators for edge detection separately. It is followed by image fusion method which optimizes the edge detection by combining the edge detected images obtained using the Sobel 12D approach and the Laplace operator. The experimental results shows that the proposed algorithms generates a better detection of the edges than the other edge detection operators.

show abstract

Section: Related Workmentioning

confidence: 99%

Enhancement of digital chest images using a modified Sobel edge detection algorithm

Aishwarya

Joseph

2021

IJEECS

View full text Add to dashboard Cite

show abstract

“…Subsequently, the ordinary outlier suppression approach placed on the Gaussian filtering and Wiener filtering [17] been examined its effectiveness by changeable kernel dimension in 2019. Later, the outlier suppression approach placed on filter approach [18] been examined its effectiveness on medical illustrations in 2019. Charmouti et al [19] revises tremendous outlier suppression approaches placed on different ordinary approaches and relatively reexamines this effectiveness on outlier suppression point of view in 2019.…”

Section: Introductionmentioning

confidence: 99%

An innovative vigorous outlier recognition placed on LROAD for fix-amplitude impulsive noise

Patanavijit

Thakulsukanant

2022

Bulletin EEI

View full text Add to dashboard Cite

Due to large current applications on digital images in these recent years, outlier suppression is one of the primary stages for modern computer vision implementations thereupon there are tremendously invented for creating an efficient and practical outlier suppression, which ordinarily are composed of outlier recognition stage and outlier rebuilt stage. The localised rank ordered difference (LROAD) approach, which is progressed from rank-ordered absolute differences (ROAD), has been invented since 2016. Later, the LROAD approach evolved to be one of the efficient outlier recognition stages from its eminent effectiveness. The paper focus to propose the innovative vigorous outlier recognition placed on localised rank-ordered logarithmic differences (LROLD) approach, which is progressed from LROAD and rank-ordered logarithmic differences (ROLD), which is higher effectiveness than the ordinary LROAD, for applying on FAIN. From the computer experiments, which are examined on many depictions such as Girl, Pepper F16 and Lena, the innovative vigorous outlier recognition placed on LROLD approach has higher eminent effectiveness then the stage-of-art approach such as LROAD and ROAD approaches at numerous consistencies of FAIN.

show abstract

“…Later, an irregularity reduction algorithm built on the Gaussian filtering and Wiener filtering [17] was studied its achievement by adjusting kernel dimension in 2019. Next, an irregularity reduction algorithm [18] built on filter scheme with MMG technique been formulated for engaging on medical digital depictions in 2019. Charmouti et al [19] studies enormous irregularity reduction algorithm built on various schemes and comparatively simulates these achievements on irregularity reduction perspective in 2019.…”

Section: Introductionmentioning

confidence: 99%

The alternative irregularity reduction algorithm built on 2-stage identification with AMF on FMIO

Patanavijit

Kesrarat

Thakulsukanant

2022

IJEECS

View full text Add to dashboard Cite

Built on neighborhood correlation, a 2-stage identification technique was offered to incorporate on the irregularity reduction algorithm for random magnitude impulse outlier (RMIO). As a result, this algorithm has an ultimate efficacy thereby a 2-stage identification technique becomes to be one of the high efficacy identification technique. Accordingly, this paper attempts to propose an alternative irregularity reduction algorithm built on a 2-stage identification and adaptive median filter (AMF) with under fix magnitude impulsive outlier (FMIO) at little, mild and immense massiveness. First, by examining great number of depictions, the optimized window dimension for 2-stage scheme from computation and performance is disposed. Second, comprehensive examinations represent that the 2-stage identification technique is disposed to identify between regular and irregular pixels at all massiveness, especially little and mild massiveness. Third, the identification efficacy on great depictions at all massiveness is examined on regular, irregular, regular-irregular efficacy perspective to estimate the optimal window size and optimal 2-stage constant value. Finally, the overall outlier reduction efficacy of an outlier reduction built on 2-stage technique and AMF is examined on great depictions at all massiveness related with other up-to-the-minute outlier reductions. From these results, the outlier reduction has remarkable efficacy than other up-to-the-minute outlier reductions.

show abstract

Filter technique of medical image on multiple morphological gradient (MMG) method

Cited by 6 publications

References 19 publications

Enhancement of digital chest images using a modified Sobel edge detection algorithm

Enhancement of digital chest images using a modified Sobel edge detection algorithm

An innovative vigorous outlier recognition placed on LROAD for fix-amplitude impulsive noise

The alternative irregularity reduction algorithm built on 2-stage identification with AMF on FMIO

Contact Info

Product

Resources

About