Sentence examples for multilevel thresholding and from inspiring English sources

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

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 thresholding techniques performed on gray-level images can be divided into two categories, namely, bilevel and multilevel thresholding.

In this study, an image-processing method fusing feedback pulse couple neural network and multilevel thresholding, the I-FM method, is proposed for automatic extraction of grain-size distribution based on digital photographs taken from a river-bed.

The results reveal that the performance of real coded genetic algorithm with SBX crossover based optimal multilevel thresholding for medical image is better and has consistent performance than already reported methods.

In this paper, an approach is proposed for pulmonary nodule segmentation and feature extraction using multilevel thresholding.

The optimum multilevel thresholding is found by maximizing the entropy.

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

This new multilevel thresholding algorithm is called the firefly-based minimum cross entropy thresholding (FF-based MCET) algorithm.

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

In this paper, real coded genetic algorithm with Simulated Binary Crossover (SBX) based multilevel thresholding is used for the segmentation of medical brain images.