Abstract: Scanning electron microscope (SEM) image can capture the distribution, topology, and morphology of microstructural constituents of geological materials. Segmentation of SEM image is needed ...

Abstract: We introduce a new image texture segmentation algorithm, HMTseg, based on wavelets and the hidden Markov tree (HMT) model. The HMT is a tree-structured probabilistic graph that captures the ...

ABSTRACT: AI techniques are proving unbeatable in the fight for supremacy in methods of evaluation, optimization, control, object recognition, sensor monitoring, image interpretation, machine learning ...

Medical image segmentation is a critical task that plays a vital role in diagnosis, treatment planning, and disease monitoring. Accurate segmentation of anatomical structures and abnormalities from ...

This research has been conducted at the Institute of Advanced Research in Artificial Intelligence (IARAI). Please note that the structure of pathlist files is slightly different for the classification ...

To avoid the problems of relative overlap and low signal-to-noise ratio (SNR) of segmented three-dimensional (3D) multimodal medical images, which limit the effect of medical image diagnosis, a 3D ...

With the development of communication technology and network technology, as well as the rising popularity of digital electronic products, an image has become an important carrier of access to outside ...