Perbandingan Segmentasi Luas Nukleus Sel Normal Superfisial papSmear menggunakan Operasi kanal Warna dan deteksi tepi

Tanggal

2013-01-30

Penerbit

Assosiasi Perguruan Tinggi Informatika & Ilmu Komputer (APTIKOM) Wilayah 3

Abstraksi

This paper presents a comparison of cell nucleus segmentation and area measurement of Pap smear images by means of modification of color canals with Canny edge detection and morphological reconstruction methods. Regular Pap smear screening is the most successful attempt of medical science and practice for the early detection of cervical cancer. Manual analysis of the cervical cells is time consuming, laborious and
error prone. In early detection, cell nucleus characterization plays an important role for classifying the degree of abnormality in cervical cancer. The aim of this work is to find the matched measurement method with the manual nucleus area measurement. In this work, we utilized Pap smear single cell images from Herlev data bank in RGB mode. The cell images were selected from 90 normal and 160 abnormal class subjects that include: Mild (Light) Dysplasia, Moderate Dysplasia, Severe Dysplasia and Carcinoma In Situ classes. The nucleus of each cell image was cropped manually to localize from the cytoplasm. The color canals modification was performed on each cropped nucleus image by, first, separating each R, G, B, and grayscale canals, then implementing addition operation based on color canals (R+G+B, R+G, R+B, G+B, and grayscale). The Canny edge detection was applied on those modifications resulting in binary edge images. The nucleus segmentation was implemented on the edge images by performing region filling based on morphological reconstruction. The area property was calculated based on the segmented nucleus area. The nucleus area from the proposed method was verified to the existing manual measurement (ground truth) of the Herlev data bank. Based on
thorough observation upon the selected color canals and Canny edge detection. It can be concluded that Canny edge detection with canal modification is the most significant for all abnormal classes. While for Normal Superficial, Normal Intermediate, Severe Dysplasia and Moderate Dysplasia, Canny edge detection is significant for all RGB modifications with (r 0.314 – 0.817 range, p-value 0.01), and for Normal Columnar, Mild (Light) Dysplasia and Carsinoma In Situ, Canny edge detection is not sensitive for the three classes.


Kata Kunci: Pap smear images, nucleus, color canals, Canny edge detection, morphological reconstruction

Bidang ilmu
Image Processing

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