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Speckle Noise Removal by SORAMA Segmentation in Digital Image Processing to Facilitate Precise Robotic Surgery

Authors :
null Roopa Jayasingh J.
null Jeba Kumar R. J. S.
Deepika Blessy Telagathoti
K. Martin Sagayam
Sabyasachi Pramanik
Om Prakash Jena
Samir Kumar Bandyopadhyay
Source :
International Journal of Reliable and Quality E-Healthcare. 11:1-19
Publication Year :
2022
Publisher :
IGI Global, 2022.

Abstract

Kidney stones are renal calculi that are formed due to the collection of calcium and uric acid. The major symptom for the existence of these renal calculi is severe pain, especially when it travels down the urethras To detect these renal calculi, ultrasound images are preferable. But these images have speckle noise which makes the detection of stone challenge. To obtain better results, Semantic Object Region and Morphological Analysis (SORAMA) found to be productive. First scanned image undergoes noise removal process Later the image is enhanced. Detection of Region of interest (ROI) in the image is done. Later it undergoes Dilation and Erosion were a part of Morphological analysis which produces a smoothening effect on the image. From the smoothened image, the stone is detected. If the stone is not detected then it again undergoes noise removal technique and the whole process is repeated until the smoothened image with the stone is detected. This novel research paper will be a boon to medical patients suffering from this disease to be detected and diagnose at a very early stage.

Details

ISSN :
2160956X and 21609551
Volume :
11
Database :
OpenAIRE
Journal :
International Journal of Reliable and Quality E-Healthcare
Accession number :
edsair.doi...........eca3c4124f6bee62e6f7585d1d6e640a
Full Text :
https://doi.org/10.4018/ijrqeh.295083