Morphological Transformation Based Fractal Texture Segmentation of MR Brain Tumour Image Slices

ABSTRACT This paper presents the morphological transformation based fractal texture segmentation for the multi-model view of MR brain tumor region extraction. The tumor image segmentation of this approach consists of morphological image transformation, fractal texture based image segmentation, tumor region extraction. The segmented tumor image results are evaluated with the ground truth image with use of jaccard index and dice coefficient measures. Then, the proposed image segmentation technique is also compared with the conventional SFTA (Segmentation based Fractal Texture Analysis) based image segmentation in terms of a number of image decomposition for tumor extraction and computation time. Keywords: segmentation based fractal texture analysis, minima transform, image complement, morphological transform