Results 261 to 270 of about 357,344 (305)

SegCycle-SPADE: An end-to-end framework for semantic segmentation-based automated extraction and artistic reconstruction of traditional craft patterns using conditional GAN. [PDF]

PLoS One
Huang B, Mo L.
europepmc   +1 more source

An end-to-end fault interpretation method driven by visual foundation model with domain adaptation fine-tuning. [PDF]

Sci Rep
Liu Y, Zhang F, Zou H, Huang F, Zhu Z, Zhao S, Yan J, Jiang S, Tang J.   +8 more
europepmc   +1 more source

Turning Seasonal Signals into Segmentation Cues: Recolouring the Harmonic Normalized Difference Vegetation Index for Agricultural Field Delineation. [PDF]

Sensors (Basel)
Papić F, Rumora L, Medak D, Miler M.
europepmc   +1 more source

Sustainable reuse evaluation framework for coastal industrial living preservation of heritage buildings based on visual perception driven. [PDF]

Sci Rep
Meng X, Chang J.
europepmc   +1 more source

Automated Brain Tumor MRI Segmentation Using ARU-Net with Residual-Attention Modules. [PDF]

Diagnostics (Basel)
Özbay E, Altunbey Özbay F.
europepmc   +1 more source

A scale-space toggle operator for morphological segmentation

, 2007
Leyza Baldo Dorini, Neucimar J. Leite
openalex   +1 more source

MemRoadNet: Human-like Memory Integration for Free Road Space Detection. [PDF]

Sensors (Basel)
Shafiq S, Khan AA, Shao J.
europepmc   +1 more source

Image segmentation using Scale-Space Random Walks

2009 16th International Conference on Digital Signal Processing, 2009
Many methods for supervised image segmentation exist. One such algorithm, Random Walks, is very fast and accurate when compared to other methods. A drawback to Random Walks is that it has difficulty producing accurate and clean segmentations in the presence of noise.
Richard Rzeszutek, Thomas El-Maraghi, Dimitrios Androutsos   +2 more
openalex   +2 more sources

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Scale-space characteristics for image segmentation

Proceedings of IEEE Region 10 International Conference on Electrical and Electronic Technology. TENCON 2001 (Cat. No.01CH37239), 2002
For successful image segmentation, it is vital to discover optimal discriminating features that contrast one region from the other, or contrast salient edges from the background. We propose a new method for image segmentation based on three discriminating features: average gradient magnitude, uniformity of gradient magnitude and uniformity of gradient ...
M. Rahman, null Wang Yin Chai, A. Abdessealm   +2 more
openaire   +1 more source