In these modern days, digital images become prominent information on the Internet and
Social Media. The images can have a number of features with many secrets. To get these …

Understanding of human action and activity from video data is growing field and received
rapid importance due to surveillance, security, entertainment and personal logging. In this …

Detection of land use and land cover from an optical remote sensing image is an essential
research area from the inception of a remote sensing image. Land use land cover maps …

Content-based image copy detection has become one of the important technologies in
copyright protection, where two major processes, content-based feature extraction and …

Robust hashing is a powerful technique for processing large-scale images. Currently, many
reported image hashing schemes do not perform well in balancing the performances of …

In this paper we propose a prostate cancer computer-aided diagnosis (CAD) system and
suggest a set of discriminant texture descriptors extracted from T2-weighted MRI data which …

Wavelet‐based segmentation approaches are widely used for texture segmentation
purposes because of their ability to characterise different textures. In this study, the authors …

Image hashing is a novel technology of multimedia processing with wide applications.
Robustness and discrimination are two of the most important objectives of image hashing …

This study presents an effective segmentation method which is based on neutrosophic
clustering with the integration of texture features for images. The proposed method …

Numerous applications related to urban scene analysis demand automatic recognition of
buildings and distinct sub-elements. For example, if LiDAR data is available, only 3D …