Abstract
In Medical field Segmentation of Medical Images is significant for disease diagnose. Image Segmentation divide an image into regions precisely which helps to identify the abnormalities in the Cancer cells for accurate diagnosis. Edge detection is the basic tool for Image Segmentation. Edge detection identifies the discontinuities in an image and locates the image intensity changes. In this paper, an improved Edge detection method with the Fuzzy approach is proposed to segment Cervical Pap Smear Images into Nucleus and Cytoplasm. Four important features of Cervical Pap Smear Images are extracted using proposed Edge detection method. The accuracy of extracted features using proposed method is analyzed and compared with other popular Image Segmentation techniques.
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Hemalatha, K., Usha Rani, K. (2018). Feature Extraction of Cervical Pap Smear Images Using Fuzzy Edge Detection Method. In: Satapathy, S., Bhateja, V., Raju, K., Janakiramaiah, B. (eds) Data Engineering and Intelligent Computing. Advances in Intelligent Systems and Computing, vol 542 . Springer, Singapore. https://doi.org/10.1007/978-981-10-3223-3_8
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DOI: https://doi.org/10.1007/978-981-10-3223-3_8
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