A narrow band interval type-2 fuzzy approach for image segmentation
With the extension of traditional fuzzy sets into interval type-2 fuzzy sets, uncertain knowledge or information of an image will be well described by uncertain membership values. Pixels within a small selected region are updated at each iteration, which enables the contour to evolve gradually and reduces the computational cost on the employment of the interval type-2 fuzzy set. The spatial constraint providing more image details has been intensively used in image segmentation algorithms. In the proposed model, the weighted fuzzy factor which takes both spatial and gray constraints into consideration is designed for computing the type-2 fuzzy membership value.
image segmentation interval type-2 fuzzy sets active contour model rough sets