Segmentation of Calculi from Ultrasound Kidney Images by Region Indictor with Contour Segmentation Method

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P.R.Tamilselvi
P.R.Tamilselvi
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Dr.P.Thangaraj
Dr.P.Thangaraj
α Anna University, Chennai Anna University, Chennai

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Segmentation of Calculi from Ultrasound Kidney Images by Region Indictor with Contour Segmentation Method

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Abstract

In this proposed Region Indicator with Contour Segmentation (RICS) method, five major steps are followed to select the exact calculi region from the renal calculi images. In the first and second stage, the region indices library and renal calculi region parameters are computed. After that, the image contrast is enhanced by the Histogram Equalization and the most interested pixel values of enhanced image are selected by the k-means clustering. The most interested pixel values are utilized to find the accurate calculi from the renal images. In the final stage, a number of regions are selected based on the contour process. Subsequently, pixel matching and sequence of thresholding process are performed to find the calculi. In addition, the usage of ANFIS in supervised learning has made the technique more efficient than the previous techniques. Here, the utilization of contour reduces the relative error in between the Expert radiologist and the segmented calculi, which are obtained from the proposed algorithm. Thus, the obtained error is minimized that leads to high efficiency. The implementation result shows the effectiveness of the proposed RICS segmentation method in segmenting the renal calculi in terms of sensitivity and specificity. And also, the proposed method improves the calculi area detection accuracy with reduced in computational time.

References

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

P.R.Tamilselvi. 1970. \u201cSegmentation of Calculi from Ultrasound Kidney Images by Region Indictor with Contour Segmentation Method\u201d. Unknown Journal GJCST Volume 11 (GJCST Volume 11 Issue 22): .

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GJCST Volume 11 Issue 22
Pg. 43- 51
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v1.2

Issue date

January 12, 2012

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en
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In this proposed Region Indicator with Contour Segmentation (RICS) method, five major steps are followed to select the exact calculi region from the renal calculi images. In the first and second stage, the region indices library and renal calculi region parameters are computed. After that, the image contrast is enhanced by the Histogram Equalization and the most interested pixel values of enhanced image are selected by the k-means clustering. The most interested pixel values are utilized to find the accurate calculi from the renal images. In the final stage, a number of regions are selected based on the contour process. Subsequently, pixel matching and sequence of thresholding process are performed to find the calculi. In addition, the usage of ANFIS in supervised learning has made the technique more efficient than the previous techniques. Here, the utilization of contour reduces the relative error in between the Expert radiologist and the segmented calculi, which are obtained from the proposed algorithm. Thus, the obtained error is minimized that leads to high efficiency. The implementation result shows the effectiveness of the proposed RICS segmentation method in segmenting the renal calculi in terms of sensitivity and specificity. And also, the proposed method improves the calculi area detection accuracy with reduced in computational time.

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Segmentation of Calculi from Ultrasound Kidney Images by Region Indictor with Contour Segmentation Method

P.R.Tamilselvi
P.R.Tamilselvi Anna University, Chennai
Dr.P.Thangaraj
Dr.P.Thangaraj

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