Noise Removing in Medical Images by using Image Fusion Method
Rucha B. Patil1, R.D.Patil2

1Miss. Rucha B. Patil*, Electronics Department, Shivaji University, Sangli, India.
2Prof. R D. Patil, Electronics Department, Shivaji University, Sangli, India.
Manuscript received on January 17, 2020. | Revised Manuscript received on January 23, 2020. | Manuscript published on February 10, 2020. | PP: 335-337 | Volume-9 Issue-4, February 2020. | Retrieval Number: D1178029420/2020©BEIESP | DOI: 10.35940/ijitee.D1178.029420
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Abstract: Image processing also made a graph in medical applications. During disease diagnosis medical practitioners are widely using digital images. At several states of art medical equipments are producing images of different organs, which are used at different stages of disease. Such medical images are Xrays, CT scans, MRI, ultrasound images etc. These images are produced by high frequency waves which also contains some part of noise. This noise is generated due to scattering of high frequencies. This noise is called as Speckle. Speckle alters the image quantity hence degrades the information in it which may cause any small error to the practitioner to disease diagnosis. Hence speckle removing made a vital role in medical images. This paper gives detail study of PCA image fusion to remove noise. 
Keywords: US, SNR, NCD, PSO, PCA.
Scope of the Article:  Image Analysis and Processing