Similarity Identification of an Image using Various Filtering Techniques
K. Sheidkavood1, M. Ponni Bala2
1K. Sheikdavood, Assistant Professor, Department of Electronics and Communication Engineering, M. Kumarasamy College of Engineering, Karur, (TamilNadu), India.
2Dr. M. Ponni Bala, Associate Professor, Department of Electronics and Instrumentation, Kongu Engineering College, Erode (TamilNadu), India.
Manuscript received on 05 April 2019 | Revised Manuscript received on 14 April 2019 | Manuscript Published on 24 May 2019 | PP: 221-223 | Volume-8 Issue-6S3 April 2019 | Retrieval Number: F10440486S319/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In the field of medical imaging, application of image processing plays a vital role to assist the doctors to achieve the highest success rate of saving time and easy way of diagnostic the problem. Recent days, Women’s health is a remarkable issue. Most of them are suffered by the Ovary disorder (PCOS). Appropriate solution for this disorder to is early detection. Based on the doctor’s suggestion at early stage, we can avoid the infertility, cancer, and heart disease. Ultrasound Images are mostly used by doctors to identify the PCOS. Since, it’s a safer way of scanning method and low cost. But it has a main drawback of multiplicative noise (Speckle noise). In this paper, we like to provide easy and fast method of normalize the multiplicative noise and improving the noise measuring factors like SNR, PSNR, MSE and Similarity indexing of an noisy image. So that, early stage itself we can realize PCOS.
Keywords: PCOS, PSNR, SSIM and Speckle Noise.
Scope of the Article: Communication