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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Veröffentlicht in:Computer-Based Medical Systems, 3rd Annual Symposium, 1990 S. 52 - 59
Hauptverfasser: Perkowski, M., Wang, S., Spiller, W.K., Legate, A., Pierzchata, E.
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE Comput. Soc. Press 1990
Schlagworte:
Biomedical imaging
Chemicals
Hospitals
Humans
Image processing
Image recognition
Medical diagnostic imaging
Monitoring
Pattern recognition
Testing
ISBN:9780818690402, 0818690402
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Beschreibung
Zusammenfassung: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