One main process in Computer Vision is image segmentation as a tool to other visual tasks.
Although there are many approaches to grey scale image segmentation, nowadays most of …

In this paper, a new method for the segmentation of color images is presented. This method
searches for an acceptable segmentation of 1D-histograms, according to a “monotone” …

An algorithm is presented to segment a color image based on the 3D histogram of colors.
The peaks in the histogram, ie, the connected components of colors with locally maximal …

In this work, we present a segmentation algorithm for color images that uses the watershed
algorithm to segment either the two-dimensional (2-D) or the three-dimensional (3-D) color …

In this paper, we present a novel image segmentation method that produces a set of visually
coherent regions. The method is based on a hill-climbing approach and achieves the …

In this paper, a novel hierarchical approach to color image segmentation is studied. We
extend the general idea of a histogram to the homogeneity domain. In the first phase of the …

Image segmentation is an essential processing step in texture analysis systems, as its
accuracy has a significant impact on the quality of the final analysis result. The downside of …

In this paper, we present a new two-dimensional (2D) histogram technique for colour image
segmentation using HSV (hue, saturation, and value) colour space. The approach is …

This paper summarizes three algorithms used for the analysis of gray level histograms. Two
of them are developed generalizing standard techniques and the other is a completely new …

Image segmentation is an important stage for object recognition. Many methods have been
proposed in the last few years for grayscale and color images. In this paper, we present a …