In this paper, we propose a scheme for texture classification and segmentation. The
methodology involves an extraction of texture features using the wavelet packet frame …

US10867430B2 - Method and system of 3D reconstruction with volume-based filtering for
image processing - Google Patents US10867430B2 - Method and system of 3D …

Objective Accurate brain tissue segmentation from magnetic resonance (MR) images is an
essential step in quantitative brain image analysis, and hence has attracted extensive …

Accurate brain tissue segmentation from magnetic resonance (MR) images is an essential
step in quantitative brain image analysis. However, due to the existence of noise and …

This monograph gives an introduction to the fundamentals of Markovian modeling in image
segmentation as well as a brief overview of recent advances in the field. Segmentation is …

The accurate classification of hand gestures is crucial in the development of novel hand
gesture-based systems designed for human-computer interaction (HCI) and for human …

Both the cloud model and type-2 fuzzy sets deal with the uncertainty of membership which
traditional type-1 fuzzy sets do not consider. Type-2 fuzzy sets consider the fuzziness of the …

In the textile and clothing industry, much research has been conducted on fabric defect
automatic detection and classification. However, little research has been done to evaluate …

This paper explores the use of the Artificial Bee Colony (ABC) algorithm to compute
threshold selection for image segmentation. ABC is an evolutionary algorithm inspired by …

Abstract Machine learning methods are changing the way data is analyzed. One of the most
powerful and widespread applications of these techniques is in image segmentation …