Title :
Ovulo-computer: application of image processing and recognition to mucus ferning patterns
Author :
Perkowski, Marek ; Wang, Shiliang ; Spiller, William Kelly ; Legate, Alvin ; Pierzchata, E.
Author_Institution :
Dept. of Electr. Eng., Portland State Univ., OR, USA
Abstract :
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
Keywords :
computerised pattern recognition; computerised picture processing; medical diagnostic computing; Hough transform; automatic pattern recognition; binarization; cervical mucus fern test; clinical diagnostic method; edge detection; feature space; filtering; histogram equalization; image processing techniques; labeling; ovulo-computer; thinning; Biomedical imaging; Chemicals; Hospitals; Humans; Image processing; Image recognition; Medical diagnostic imaging; Monitoring; Pattern recognition; Testing;
Conference_Titel :
Computer-Based Medical Systems, 1990., Proceedings of Third Annual IEEE Symposium on
Conference_Location :
Chapel Hill, NC
Print_ISBN :
0-8186-9040-2
DOI :
10.1109/CBMSYS.1990.109378