Renal Calculi Detection using Image Processing

Govind Raj R, Riya Cyriac, D. Pamela, P. Manimegalai, Prawin Angel Michael
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Abstract

The objective of this research is to evaluate several image analysis methodologies in order to improve the image segmentation methods. Kidney stones are a hard build-up of salt and minerals in the kidneys, primarily calcium and uric acid. Mostof the people with renal calculi are completely ignorant of their condition at first, and their organs degenerates gradually. It is vital to pinpoint the correct position of the renal calculi for surgical operations. The majority of ultrasound scans contains speckle noise which humans are unable to remove. As a result, we prefer to detect kidney stone in ultrasound using pixel integrations and median filters.
利用图像处理技术检测肾结石
本研究的目的是评估几种图像分析方法,以改进图像分割方法。肾结石是由盐和矿物质在肾脏中积聚而成,主要是钙和尿酸。大多数肾结石患者一开始完全不知道自己的病情,器官逐渐退化。准确定位肾结石的位置对外科手术至关重要。大多数超声波扫描都含有人类无法去除的斑点噪声。因此,我们倾向于使用像素积分和中值滤波器在超声中检测肾结石。
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