Automatic segmentation of digital images applied in cardiac medical images

Peres, Fernando Augusto; Oliveira, Fabiane Nunes De; Neves, Leandro Alves; Godoy, Moacir Fernandes de

doi:10.1109/pahce.2010.5474606

Cited by 11 publications

(2 citation statements)

References 7 publications

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“…Image processing is used on a practical note to extract significant features from the images, which allow human viewers to perceive the scene better [1]. The biological computing vision system is one of the world's most important means of human investigation, making it easier to understand complex tasks [6]. Advancements in the Image processing concepts have made the perception of the images more easy using various tools.…”

Section: Overview Of Image Processingmentioning

confidence: 99%

Histogram Equalized Thresholding method for analysis of Diabetic Myonecrosis related images

Shaik¹,

Bommagani²

2021

helix

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Diabetes Mellitus has become a common disorder in all groups of people throughout the world in the current days, mainly because of sedentary lifestyles and abnormal eating habits. Moreover, it has become a threat as well as a challenge to the researchers in the scientific society to find a solution to control this problem. Even though there is no proven cure for this disorder, one can lead a normal life with knowledge and awareness of issues related to diabetes. The main issue of concern for people with diabetes is its related complications, especially Myonecrosis. Diabetic myonecrosis is a rare complication of diabetes mellitus that has been poorly addressed. The disease presents itself in a human as lower extremity acute non-traumatic swelling and pain that can imitate deep vein thrombosis (DVT). Usually, the medical condition is self-limiting, and patients react well to therapeutic treatment that supports them. Together with other microvascular complications such as retinopathy, nephropathy, or neuropathy, it often develops into further complications. These complications are more common among Type I diabetics but can also arise in patients with Type II diabetes. Current image processing methodologies hold a significant position in removing specific challenges related to medical imaging technologies. The research work dealt with in this paper is about the processing of images related to Diabetic Myonecrosis, and the outcome results are used for analysis of the problem in various conditions of DM patient with Myonecrosis. Threshold segmentation methods are used to extract the features, and several attributes have been derived for statistical comparison in this work. The tools used for investigation in this work are MATLAB Technical computing language for simulation results and MIPAV for deriving statistical parameters.

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Section: Overview Of Image Processingmentioning

confidence: 99%

Histogram Equalized Thresholding method for analysis of Diabetic Myonecrosis related images

Shaik¹,

Bommagani²

2021

helix

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“…On a Technical note Image Processing is utilised to extract important features from the images, through which better perception of the scene can be obtained for human viewers [1]. The biological vision system is one of the most important means of exploration of the world to humans, making complex task easier for betterment of understanding [7].…”

Section: Introductionmentioning

confidence: 99%

A Novel Approach for Detection of Anomalies in Images related to Diabetic Myonecrosis

Shaik¹,

Sharma²,

Ahmed³

2015

International Journal of Innovative Research in Electrical, Ele

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Diabetes mellitus (DM) and its complications is a comprehensive challenge to health care systems. Diabetic Myonecrosis or diabetic muscle infarct (DMI) is a rare complication of diabetes or possibly under diagnosed. Image processing methods have become crucial in solving various medical Imaging problems. The proposed work is mainly dealt with processing of medical images related to Diabetic Myonecrosis. A novel approach is designed in this paper by having Hybrid Morphological Reconstruction (HMR) Technique as Pre-Processing With Watershed Segmentation Method as Post-Processing.

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