Cervix Detection Using Squared Error Subtraction

C. Pahl, E. Supriyanto, N. Mahmood, J. Yunus
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引用次数: 14

Abstract

In order to reduce uncomfortable cervix screening either using Pap smear or transvaginal ultrasound scanning, an autonomous transabdominal ultrasound scanning is proposed. This requires an exact probe position and angulation to capture the cervix image. In this paper, we present a new method to detect cervix in the best position and angulation. More than 100 samples were processed and analyzed. Image enhancement of the ultrasound image data was performed before further processing and cervix detection. The best cervix ultrasound image was used as a reference template for analysis. The correlation between template and target image was compared using squared error subtraction of histograms. Test results show that taking a different rate threshold at 0.075, an accuracy of 100% for cervix identification is achieved. This method is very efficient since it uses a simple algorithm and requires low memory capacity. This technique will be powerful to be used for real time autonomous scanning of cervix for surgical monitoring or acceptable operator-independent cervix screening.
使用平方误差减法检测子宫颈
为了减少不适的宫颈筛查,无论是使用巴氏涂片或经阴道超声扫描,提出了一种自主的经腹部超声扫描。这需要一个精确的探头位置和角度来捕捉子宫颈图像。在本文中,我们提出了一种检测宫颈最佳位置和角度的新方法。对100多个样本进行了处理和分析。在进一步处理和子宫颈检测之前,对超声图像数据进行图像增强。将最佳子宫颈超声图像作为参考模板进行分析。采用直方图的误差平方相减法比较模板与目标图像的相关性。测试结果表明,采用0.075的不同率阈值,子宫颈识别的准确率达到100%。该方法算法简单,占用内存少,效率高。这项技术将是强大的,用于实时自主扫描子宫颈手术监测或可接受的操作者独立子宫颈筛查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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