Automatic manufacturing feature recognition (AFR) is a critical technology for realizing CAD/CAPP/CAM integration in the era of intelligent manufacturing. Despite numerous approaches that have been proposed, intersecting features remains challenge. The most important reason boundaries and their geometric topological information are altered or destroyed when interacting with other features. To a...

A significant amount of research has been conducted on the segmentation large-scale 3D point clouds. However, efficient cloud feature identification from results is an essential capability for computer vision and surveying tasks. Feature description methods are algorithms that convert set into vectors or matrices can be used identification. While histogram (PFH) descriptor method, it does not w...

one of the challenging issues in managing the existing large digital image libraries and databases is content based image retrieval (cbir). the accuracy of image retrieval methods in cbir is subject to effective extraction of image features such as color, texture, and shape. in this paper, we propose a new image retrieval method using contourlet transform coefficients to index texture of the im...

in this paper, we proposed a data-hiding scheme based on run length matrix. in a previously proposed method, a technique based on texture classification was introduced where four statically features extracted from run length matrix; then best cover images are selected based on these features. using appropriate features for comparing images from undetectability viewpoint, guarantees, less detect...