… images in the segmentation approach is usually designed for solving a specific problem. In
this work, histogram thresholding is proposed in order to help the segmentation step in what …

… Thus, to segment the image using some histogram thresholding technique, the optimum
threshold value must be located in the valley region. A myriad of algorithms for histogram thresh…

… In this paper, we propose a novel segmentation approach called Histogram Thresholding
– … the histogram thresholding module and the FCM module. The histogram thresholding …

… segmentation. A typical technique of image segmentation based on histogram thresholding
… For instance, in the case of bi-level thresholding, the histogram of the image is usually …

… the study of the threshold techniques in image segmentation. Image segmentation is one
of the … of threshold technique as Histogram Dependent Technique (HDT) based on Global …

… Edge detectors form a collection of different images and applying local image … histogram
thresholding is proposed in order to help the edge detection and segmentation of image …

… , which corresponds to a multigranularity abstraction of the color image. Based on this,
we present a new histogram thresholding—Adaptive Hierarchical-Histogram Thresholding (AHHT…

… segmentation algorithm. A threshold can be set by analyzing the histogram of an image…
If the distribution function f(z) of the histogram is assumed to be continuous, then a threshold …

… In order to detect most of the interesting boundaries within ~m image, our segmentation
algorithm will be defined in terms of a set of n thresholds rather than a single threshold. These n …

… Image segmentation is often used to distinguish the foreground from the background. This …
novel method of image thresholding using the optimal histogram segmentation by the cluster …