Analysis of various Edge detection methods for X-ray images

Goswami, Baishali; Misra, Santanu Kr.

doi:10.1109/iceeot.2016.7755185

Cited by 11 publications

(2 citation statements)

References 25 publications

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“…Study of various edge detection methods is done in [3] and [4]. [3] Discussed the edge detection techniques which could serve for the meaningful segmentation of an x-ray image.…”

Section: Related Workmentioning

confidence: 99%

“…Study of various edge detection methods is done in [3] and [4]. [3] Discussed the edge detection techniques which could serve for the meaningful segmentation of an x-ray image. The main objective of the edge detection algorithms explained in [4] is to produce a line and to extract important features and reduce the amount of data in the image.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Estimation of NIIRS Incorporating an Automated Relative Edge Response Method

Pranav¹,

Venkateswarlu²,

Nair³

et al. 2017

IJIGSP

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Abstract-The quality of remote sensing satellite images are expressed in terms of ground sample distance, modular transfer function, signal to noise ratio and National Imagery Interpretability Rating Scale (NIIRS) by user community. The proposed system estimates NIIRS of an image, by incorporating a new automated method to calculate the Relative Edge Response (RER). The prominent edges which contribute the most for the estimation of RER are uniquely extracted with a combined application of certain filters and morphological operators. RER is calculated from both horizontal and vertical edges separately and the geometric mean is considered as the final result. Later applying the estimated RER along with other parameters, the system returns the NIIRS value of the input image. This work has proved the possible implementation of automated techniques to estimate the NIIRS from images and specifics in the metafile contents of imagery.

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“…Study of various edge detection methods is done in [3] and [4]. [3] Discussed the edge detection techniques which could serve for the meaningful segmentation of an x-ray image.…”

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%