A new method of thresholding a gray-scale image into a desired number of classes is
proposed in this paper. The proposed method first evaluates the number of peaks in the …

In this paper, a hybrid approach, which is based on Gaussian smoothing and a genetic
algorithm (GA), is proposed for automatic multilevel image thresholding. Using a mixture …

This paper introduces a new image thresholding method based on minimizing the measures
of fuzziness of an input image. The membership function in the thresholding method is used …

Traditional thresholding methods are computationally expensive in multi-level thresholding.
In this paper a histogram-based approach, called hill-clustering, is developed. It is …

Multilevel thresholding technique is popular and extensively used in the field of image
processing. In this paper, a multilevel threshold selection is proposed based on edge …

Image thresholding is a very common image processing operation, since almost all image
processing schemes need some sort of separation of the pixels into different classes. In …

Many previous methods for image thresholding focused on developing automatic algorithms
to determine thresholds. However, most of the methods suffer from time-consuming …

Otsu reference proposed a criterion for maximizing the between-class variance of pixel
intensity to perform picture thresholding. However, Otsu's method for image segmentation is …

In this paper, a new dichotomization technique is proposed for multilevel thresholding. The
proposed method is based on selection of the consistent peak location of the correlation …

The drawback of the conventional multilevel thresholding methods is high computational
cost since they do exhaustive search among exponentialy growing number of possible …