Round Randomized Learning Vector Quantization for Brain Tumor Imaging

Figure 3

From the left to the right: ((a)–(d)) original images, ((e)–(h)) the output images with high pass filter, ((i)–(l)) the output images after applying median filter with kernel, ((m)–(p)) samples of region growing segmentation with the seed point value = 80 and threshold = 90, ((q)–(t)) samples of brain images after applying Gaussian search thresholding method, ((u)–(ab)) opened images with mask of structure elements, and ((ac)–(af)) the final subtracted images. The last column represents normal image.