Object Oriented Cell Image Segmentation

B. Nordin; E. Bengtsson; B. Dahlqvist; O. Eriksson; T. Jarkrans; B. Stenkvist

doi:10.1117/12.934613

1 November 1982 Object Oriented Cell Image Segmentation

B. Nordin, E. Bengtsson, B. Dahlqvist, O. Eriksson, T. Jarkrans, B. Stenkvist

Proceedings Volume 0375, Medical Imaging and Image Interpretation; (1982) https://doi.org/10.1117/12.934613
Event: 1st International Symposium on Medical Imaging and Image Interpretation, 1982, Berlin, Germany

Abstract

A correct segmentation of cell images into nucleus, cytoplasm and background is a prerequi-site for a working automatic pre-screening device for cervical cytology. This paper presents an algorithm for determining the segmentation thresholds. It is based on a-priori assumptions about a cell's shape and size and works on one object at a time, disregarding everything else in the image. The algorithm is capable of verifying that the isolated object really looks like a cell; an essential feature in an automatic system. The nucleus and cytoplasm thresholds are decided upon almost independently of each other. The algorithm works by tracking iso-density contours around the object to be isolated and its execution time is thus proportional to the length of the contour rather than the area of the image. Some preliminary results are given and the possibility of efficiently implementing the algorithm in hardware is discussed.

Citation Download Citation

B. Nordin, E. Bengtsson, B. Dahlqvist, O. Eriksson, T. Jarkrans, and B. Stenkvist "Object Oriented Cell Image Segmentation", Proc. SPIE 0375, Medical Imaging and Image Interpretation, (1 November 1982); https://doi.org/10.1117/12.934613

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