Thresholding for Image Segmentation Using 2D-Histogram and Spectral Clustering
Zou, Xiao-lin · ASME Press eBooks · 2011
Traditional 2D thresholding methods suppose that the sum of probabilities of main-diagonal distinct in 2D histogram is approximately one, and neglect the sum of probabilities of counter-diagonal distinct in 2D histogram. Therefore, the assumption mentioned above is inadequately reasonable; at the same time, those methods become very time-consuming when extended to a multi-level threshold problem due to the fact that a large number of iterations are required for computing the cumulative probability and the mean of a class. To overcome the shortcomings mentioned above, a new 2D thresholding algorithm using 2D histogram and spectral clustering algorithm is presented. Spectral clustering...