Raka Kundu

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Cobb angle, which is a measure of spinal curvature, is the standard method for quantifying the magnitude of Scoliosis, related to spinal deformity in orthopedics. Determining the Cobb angle through manual process is subject to human errors. In this work, we propose a methodology to measure the magnitude of Cobb angle, which appreciably reduces the(More)
Measurement of Cobb angle is the standard technique used for scoliosis assessment. The challenging task in computerized method lies in totally automating the method of curvature measurement from digital X-ray images. In this paper we presented a method which automatically measures the Cobb angle from radiographs after selection of the end vertebrae of the(More)
A novel method for enhancement of digital X-ray images of bones is presented in this paper. It has come to observation that the proposed method based on the Gaussian higher order derivative shows an appreciable enhancement of edges in digital X-ray images of bones that can be used for detection of various bone deformities as well as for the better(More)
We propose an adaptive approach for ‘non local means (NLM)’image filtering termed as ‘non local adaptive clipped means (NLACM)’, which reduces the effect of outliers and improves the denoising quality as compared to traditional NLM. Common method to neglect outliers from a data population is computation of mean in a range defined by mean and standard(More)
  • Raka Kundu
  • 2013 Indian Conference on Medical Informatics and…
  • 2013
X-ray image is the noninvasive medical test that is commonly used for visual verification of bone anatomy and bone structure. X-ray image sometimes lack sharpness and clarity of bone details. In this paper we have performed a structural enhancement of digital X-ray images of bones, using Gaussian higher order derivative operation with a prior suitable(More)
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