Medical Image Processing to Detect Brain Cancer | ||
| Iraqi Journal of Information Technology | ||
| Article 1, Volume 7, Issue 1, January 2017, Pages 31-46 | ||
| Author | ||
| Israa Akram Fadhil | ||
| Abstract | ||
| Moments of images provide efficient local descriptors and have been used extensively in image analysis applications. Moments are able to provide invariant measures of shape. The search refers to use many processing operations on MRI brain scan to detect Brine Cancer by de-noise, limits and observe any different changes occur in Brain shape and size. There are many ways to de-noise an image or a set of data and methods exists. The preprocessing, filtering image is the process of removing noise by use (Median, Gaussian) filters; Segmentation is implemented using Threshold method to analysis and retail operations of the image to enhance it, Image classification according to some feature that appears across the image set, that Zernike Moments is use to feature extraction. The performance of Image filtering techniques is calculated by (i) PSNR value (ii) MSE Value. This is refers to improve image quality, increase visibility of details, help in the diagnostic and accurate information in medical care. | ||
| Keywords | ||
| Image Processing; Image Moments; median filter; Gaussian filter; Segmentation; Threshold; Zernike moments | ||
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