Dec 23, 2021 · Segmentation is the separation of one or more regions or objects in an image based on a discontinuity or a similarity criterion.
Dec 8, 2012 · Presumably, I'd eliminate these by specifying a minimum area for an object. So, what algorithm(s) are there for identifying the edges of objects ...
A feature is a piece of information about the content of an image; typically about whether a certain region of the image has certain properties.
Jan 17, 2023 · This model used a combination of region proposal algorithms and convolutional neural networks (CNNs) to detect and localize objects in images.
Missing: Points, | Show results with:Points,
The combination of edges and interest points brings efficient feature detection and high recognition ratio to the image retrieval system. Experimental results ...
Jan 29, 2022 · We propose a single-stage instance segmentation model EEMask (edge-enhanced mask), which generates grid ROIs (regions of interest) instead of proposal boxes.
May 3, 2024 · These points are often corners, edges, or blobs, and they serve as potential candidates for feature extraction. Some popular interest point ...
Sep 22, 2024 · Some of the best techniques for creating precise and high-quality 3D models are box modeling, polygon modeling, curve modeling, etc.
Graphs computed from regions of interest provide an opportunity to characterize and model a set of connected areas, such as a tortuous pore space.
Missing: Points, | Show results with:Points,
Each template is defined by a group of local edge fragments. In contrast to the traditional interest-point features, edge fragments can be detected stably ...