Image segmentation for video analysis plays an essential role in different research fields
such as smart city, healthcare, computer vision and geoscience, and remote sensing …

Dynamic threshold neural P (DTNP) systems are a new variant of spiking neural P (SNP)
systems, abstracted by the spiking and dynamic threshold mechanisms of biological …

When different target surfaces, in three-dimensional space, are mapped onto an image
plane, they have different projections. These projections vary with the viewpoint. These local …

The fusion of multiple segmentations of different biological structures is inevitable in the
case where each structure has been segmented individually for performance reasons …

In this study, an effective means for detecting cancer region through different types of
medical image segmentation are presented and explained. We proposed a new method for …

Image segmentation is an important process and a prerequisite for object-based image
analysis, but segmenting an image into meaningful geo-objects is a challenging problem …

To identify plant leaves in natural scenes, the accuracy of leaf segmentation is very
important. Where there are no assumptions about the colour and position of the leaf and the …

Unsupervised color image segmentation based on low level color features aims to assign
same label to all pixels of a region with color homogeneity, which underlies many higher …

An adaptive region-segmentation based multi-focus image fusion method is presented using
a Laplacian pyramid transform which decomposes the pre-registered source images into …

This paper investigates an iterative information-theoretical method for segmentation of
digital images. A system that includes a segmentation algorithm with a parameter that …