Global Journal of Science Frontier Research, A: Physics and Space Science, Volume 22 Issue 1

From figure 14, two masses were identified in the breast as compared to the original images acquired from Mammocare Ghana, and the histogram was indicated. Figure 15: The processed image of sample 4 and its histogram In figure 15, the tumor was identified in the center of the breast with the red boundary around it and it can be seen in the histogram. Although the tumor was well extracted, the red boundary was a result of the unclear nature of the image acquired. Figure 16: The processed image of sample 5 and its histogram From figure 16, no tumor was identified as compared to the original image acquired from Mammocare Ghana. The histogram indicates the red boundary seen in the image. Figure17: The processed image of sample 6 and its histogram From figure 17, although the area was large, the histogram was not clear enough this is due to the red circle around the tumor. This is because of the blurred nature of the original image and the direction in which the image was taken and hence the mass could be identified within the red circle, further increase of the Segmentation of Cancerous Mammography using MATLAB 1 Year 2022 5 © 2022 Global Journals Global Journal of Science Frontier Research Volume XXII Issue ersion I VI ( A )