Results 121 to 130 of about 6,095 (211)

Multi-class semantic segmentation of oral cancer tissues on whole-slide images: A SuperPixel enhanced deep learning approach. [PDF]

J Pathol Inform
León F, Champagnac A, Dupoy M, Fayette JM, Csűry TD, Duraffourg L, Saintigny P.   +6 more
europepmc   +1 more source

SLIC Superpixels

, 2010
Superpixels are becoming increasingly popular for use in computer vision applications. However, there are few algorithms that output a desired number of regular, compact superpixels with a low computational overhead. We introduce a novel algorithm that clusters pixels in the combined five-dimensional color and image plane space to efficiently generate ...
Achanta, Radhakrishna, Shaji, Appu, Smith, Kevin, Lucchi, Aurélien, Fua, Pascal, Süsstrunk, Sabine   +5 more
openaire   +1 more source

SLIC-Former: a superpixel-guided transformer framework for automatic liver segmentation in CT images. [PDF]

Sci Rep
Elqersh SF, Haikal AY, Saafan MM, Sakr NA.   +3 more
europepmc   +1 more source

Superpixel Random Selection Random Walk Multi-Branch Depthwise Convolutional Neural Network for Hyperspectral Image Classification. [PDF]

Sensors (Basel)
Zhang K, Jiang X, Cai Z.
europepmc   +1 more source

Automatic Segmentation and Recognition of the Microstructure of High-Strength Low-Alloy Steel. [PDF]

Materials (Basel)
Wang L, Ren Z, Song B, Wang B, Chen Q, Wang J, Zhou T, Han Y.   +7 more
europepmc   +1 more source

Optimal seamline detection for SAR image mosaicking guided by superpixel segmentation and region merging. [PDF]

PLoS One
Yan D, Zeng F, Chen B, Huang R, She Y.
europepmc   +1 more source

Colorless image processing technique combining chromaticity transfer and image feature extraction in visual graphic design. [PDF]

Sci Rep
Wu T, Liu B.
europepmc   +1 more source

Free Space Estimation Based on Superpixel Clustering for Assisted Driving. [PDF]

Sensors (Basel)
Vitales O, Aguilar-Ponce R, Vigueras J.
europepmc   +1 more source

Explainable deep learning-based lung cancer diagnosis using clinically-guided local interpretable model-agnostic explanations. [PDF]

Sci Rep
Hassan SU, Abdulkadir SJ, Alhussian HS, Fayyaz AM, Al-Selwi SM, Khan U, Ismail AOA.   +6 more
europepmc   +1 more source

Image Anonymization by Superpixel Segmentation

We propose a method for anonymizing a given image by removing personally identifiable information with a superpixel segmentation technique. Especially, we would like to focus on human faces in an image, because face images bear important personal ...
張, 碩延, 井上, 光平, イノウエ, コウヘイ, 原, 健二, Urahama, Kiichi, Zhang, Shuoyan, Hara, Kenji, ハラ, ケンジ, 浦濱, 喜一, Inoue, Kohei, ウラハマ, キイチ   +10 more
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