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http://dx.doi.org/10.6109/jkiice.2022.26.6.865

Automatic Prostate Segmentation from Ultrasound Images using Morphological Features  

Kim, Kwang Baek (Department of Artificial Intelligence, Silla University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.26, no.6, 2022 , pp. 865-871 More about this Journal
Abstract
In this paper, we propose a method of extracting prostate region using morphological characteristics of ultra-sonic image of prostate. In the first step of the proposed method, the edge area of the prostate image is extracted. The histogram of ultra-sonic image is used to extract base objects to detect the upper edge of prostate region by altering the contrast of the image, then, the lower edges of the extracted base objects are connected by using monotone cubic spline interpolation to extract the upper edge. Step 2, Otsu's binarization is applied to the region under the extracted upper edge of the prostate ultra-sonic image to extract the lower edge of prostate. In the last step, the upper and the lower edges are connected to extract prostate region and by comparing the extracted region of prostate with the one measured manually, the result showed that the morphological characteristics of prostate in ultrasonic image can be utilized to extract the prostate region.
Keywords
Prostate; Histogram; Monotone cubic spline interpolation; Otsu's binarization;
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