A Review on Strain Measurement in Bone Mechanics Using Various Techniques

Shifani, S. Agnes; Nanammal, V.; Bhavani, R.; Nishidha, A. Angeline

doi:10.1109/iccic.2017.8524236

Cited by 4 publications

(4 citation statements)

References 9 publications

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“…Sobel edge recognition technique utilizes slope strategy to find the edge. Most edge recognition techniques take a shot at the supposition that the edge happens where there is an intermittence in the force work or an exceptionally soak power angle in the image [17]. Generally utilized technique for recognizing edges is to apply subordinate operators on images.Subordinate based methodologies can be sorted into two gatherings, in particular first and second request subsidiary techniques.…”

Section: Edge Detectionmentioning

confidence: 99%

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Identification of Bone Fragmentation in X-Ray Images using Contour Detection Algorithm

Shifani¹,

Ramkumar²,

Clemencia³

et al. 2019

IJITEE

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The crack can occur in any bone ofour body. Broken bone is a bone condition that endured a breakdown of bone trustworthiness. The Fracture can't recognize effortlessly by the bare eye, so it is found in the x-beam images. The motivation behind this task is to find the precise territory where the bone fracture happens utilizing X-Ray Bone Fracture Detection by Canny Edge Detection Method. Shrewd Edge Detection technique is an ideal edge identification calculation on deciding the finish of a line with alterable limit and less error rate. The reproduction results have indicated how canny edge detection can help decide area of breaks in x-beam images. In the base paper, the cracked bit is chosen physically to defeat this downside, the proposed technique identify the bone fracture consequently and furthermore it quantifies the parameter like length of the crack, profundity of the fracture and the situation of the crack as for even and vertical pivot. The outcome demonstrates that the proposed technique for crack identification is better. The outcomes demonstrate that calculation is 91% exact and effective

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Section: Edge Detectionmentioning

confidence: 99%

“…The primary intend to recognize the shape in identification of bone break is the shape is descripted by utilizing lines. At the point when the line is discontinuous(the broken ligaments between bone is referred as fracture) at that point, that territory is featured as a cracked by square box [17].…”

Section: E Shape Detectionmentioning

confidence: 99%

Identification of Bone Fragmentation in X-Ray Images using Contour Detection Algorithm

Shifani¹,

Ramkumar²,

Clemencia³

et al. 2019

IJITEE

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“…The worldwide thresholding gives sub-par results in light of the hypothesis that the derma pictures have bimaximal chart. For dermatoscopic pictures a completely mechanized system for division has implemented by krunk [13]. The graphic representation commencement has been used on three RGB hues by the creators.…”

Section: Related Workmentioning

confidence: 99%

Skin Lesion Detection Based on Fuzzy Logic

Leo¹,

Yokesh²,

Karthikeyan³

et al. 2019

IJITEE

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Melanoma is the maximal destructive type of skin disease. Occurrence ratios of melanoma seemed expanding, particularly with non-Hispanic white guys and females, however durability values are more whenever identified early. Requirement of cost as well as time for the imates to go for dermatologist for melanoma are restrictively exorbitant. Test in actualizing such a framework is finding the derma sore in the computerized picture. An arrangement of agent surface appropriations are found out from an enlightenment remedied photo and surface peculiarity metric is ascertained for every circulation. Melanoma represents around 75% of passings related with skin tumor. The fundamental objective of our work is to build up a structure that naturally right and section the skin injury from an information photo. This philosophy utilizes surface peculiarity injury division fluffy calculation to distinguish the injuries in the skin. The upside of this undertaking is early recognition of the sore to dodge skin tumor at later stages Index Terms: Skin

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“…Digital Image Correlation (DIC) is a 3D full-field, non-contact and optical system to quantify and research about shape, distortion, vibration and strain on practically any material [8]. The system can be utilized with numerous tests including malleable, torsion, bowing and consolidated stacking for both static and dynamic applications [9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Survey on Crack detection of Bone using various techniques

S¹,

Akshaya²,

Kaviya³

et al. 2020

Bull. Sci. Res.

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Digital image processing plays a key role in manipulation of image and extracting the maximum amount of data from image with help of various algorithm. Digital image correlation algorithm determines the displacement and deformation of pattern across several images. Creating innovation are developing every day in various fields, particularly in restoration condition. Notwithstanding, still some old strategies are very famous. X-ray or CT images are one among the system for identification of bone cracks. during this article, we offer a comprehensive overview of various algorithm and techniques of displacement measurement generally and crack detection especially using digital image processing. we've been successful in highlighting each and each key feature and aspect of crack detection in bone which can take the add this domain further

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A Review on Strain Measurement in Bone Mechanics Using Various Techniques

Cited by 4 publications

References 9 publications

Identification of Bone Fragmentation in X-Ray Images using Contour Detection Algorithm

Identification of Bone Fragmentation in X-Ray Images using Contour Detection Algorithm

Skin Lesion Detection Based on Fuzzy Logic

A Comprehensive Survey on Crack detection of Bone using various techniques

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