Image Segmentation – free book chapter
Image Segmentation – free book chapter
Image Segmentation – free book chapter
This chapter describes a method of segmenting MR images into di erent tissue classes, using a modi ed Gaussian Mixture Model. By knowing the prior spatial probability of each voxel being grey matter, white matter or cerebro-spinal uid, it is possible to obtain a more robust classi cation. In addition, a step for correcting intensity […]
image segmentation lecture notes
The previous segmentations were done by the local variation (LV) algorithm , spectral min-cut (SMC), human (H) edgeaugmented mean-shift (ED) , and normalized cut (NC) [13, 5]. • The quality of the segmentation depends on the image. Smoothly shaded surfaces with clear gray-level steps between different surfaces are ideal for the above algorithms. • Humans […]