Sentence examples for multilevel thresholding to from inspiring English sources

In [ 19], Mudigonda et al. used multilevel thresholding to detect closed edges for mass segmentation.

For N s = 1, i.e., without fusion, the segmentation model represent the multilevel thresholding technique applied to the input image (image 3) expressed in the RGB color space.

The multilevel thresholding technique is used to extract homogeneous regions, in each image, to be fused.

The experimental results indicate that the proposed algorithm is superior to the other multilevel thresholding algorithms consistently.

The problem of optimising the threshold levels in multilevel threshold system subject to multiplicative Gaussian and uniform noise is considered.

In this article, we present a new color image segmentation method, based on multilevel thresholding and data fusion techniques which aim at combining different data sources associated to the same color image in order to increase the information quality and to get a more reliable and accurate segmentation result.

The optimum multilevel thresholding is found by maximizing the entropy.

The idea is based on multilevel thresholding and data fusion techniques.