Ovulo-computer: application of image processing and recognition to mucus ferning patterns

An approach to automatic prediction and detection of ovulation is described. It is based on the application of image processing techniques to the cervical mucus fern test, a popular clinical diagnostic method. The sequence of histogram equalization, filtering, edge detection, binarization, labeling,...

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Bibliographic Details
Published in:Computer-Based Medical Systems, 3rd Annual Symposium, 1990 pp. 52 - 59
Main Authors: Perkowski, M., Wang, S., Spiller, W.K., Legate, A., Pierzchata, E.
Format: Conference Proceeding
Language:English
Published: IEEE Comput. Soc. Press 1990
Subjects:
Biomedical imaging
Chemicals
Hospitals
Humans
Image processing
Image recognition
Medical diagnostic imaging
Monitoring
Pattern recognition
Testing
ISBN:9780818690402, 0818690402
Online Access:Get full text
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Summary:An approach to automatic prediction and detection of ovulation is described. It is based on the application of image processing techniques to the cervical mucus fern test, a popular clinical diagnostic method. The sequence of histogram equalization, filtering, edge detection, binarization, labeling, thinning, Hough transform, and automatic pattern recognition in a feature space is applied to microscopic images of the ferning patterns. This method permits decisions to be made based on quantitative data instead of the subjective evaluations that are presently used.< >
ISBN:9780818690402
0818690402
DOI:10.1109/CBMSYS.1990.109378