Detection of Cysts in Ultrasonic Images of Ovary
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

Research Paper | Computer Science & Engineering | India | Volume 2 Issue 8, August 2013

Detection of Cysts in Ultrasonic Images of Ovary

Ashika Raj

In this paper, cysts are detected in the ultrasonic images of ovary. PCOS is an endocrine disorder affecting women of reproductive age. This syndrome is mainly seen in women whose age is in between 25 and 35. We are proposing methods for identifying whether a person is suffering from Polycystic Ovary Syndrome (PCOS) or not. Ultrasound imaging of the follicles gives important information about the size, number and mode of arrangement of follicles, position and response to hormonal stimulation. A thresholding function is applied for denoising the image in the wavelet domain. Before the segmentation process the ultrasonic image is preprocessed using contrast enhancement technique. Morphological approach is used for implementing contrast enhancement. This is performed in order to improve the clarity and quality of the image. Fuzzy c-means clustering algorithm is applied to the resultant image. Finally the cysts are detected with the help of clusters. The efficiency of the algorithm depends upon the value of Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR).

Keywords: Denoising, Contrast Enhancement, Morphological Operations, Segmentation, Fuzzy C-Means Clustering

Edition: Volume 2 Issue 8, August 2013

Pages: 185 - 189

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How to Cite this Article?

Ashika Raj, "Detection of Cysts in Ultrasonic Images of Ovary", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=12013109, Volume 2 Issue 8, August 2013, 185 - 189

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