Suggested Method for Medical Image Segmentation | ||
| Journal of University of Babylon | ||
| Article 1, Volume 20, Issue 1, February 2012, Pages 42-49 | ||
| Author | ||
| Hedhab Khalid Al- Jobory | ||
| Abstract | ||
| The medical diagnosis in most cases of disease, particularly of tumors and fractures and inflation depends on the image taken to member of the body by medical imaging equipment such as MRI or X-ray or image scanning. Therefore, dealing with the medical image such as a process of amending the image or segmenting it may lead to influence the image which leads to an error in the diagnostic process. The method proposed here is to take a medical image with the extension (RGB) and use the K-means for the purpose of image segmentation and conversing of color space (RGB) to color space (HSV) for the segmented image and the original image, we identify or find the original edges of the image (Edge detection ) by filters, and then subtracting image of color space (HSV) from the edges image of color space (HSV) by comparing the output with the edge (threshold) to get a segmented image witch reveal member in more clearly for the purpose of using this image in subsequent operations such as feature extracting. | ||
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