Brain Image Segmentation using Mathematical Morphology

N. Lassouaoui and L. Hamami (Algeria)


Mathematical morphology, edge detection, segmentation on homogenous areas, medicalimage, brain image.


In this paper, we present algorithms which permit to extract tumors zones in brain image. The goal is to extract the abnormal zones with respect of theirs characteristics as: size, shape and position. Then we present to the doctor a simple image of abnormal zone that is easy to analysis and to diagnosis. For it, we used an algorithm of edge detection for delimit this areas; moreover, we have used other algorithm which permits to extract the areas where the tumors exist. These algorithms are based on mathematical morphology operators. The results obtained are satisfactory, the edge detection respects the characteristics and the morphology of original sick brain image, whereas with the algorithm of segmentation in homogeneous areas, we could make the extraction of the sick part of the brain, with the respect of all characteristics in a reasonable time allowing to think of real-time operation.

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