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Found 3 papers, 1 papers with code
BRI3L: A Brightness Illusion Image Dataset for Identification and Localization of Regions of Illusory Perception
To this end, we generate a large-scale dataset of 22, 366 images (BRI3L: BRightness Illusion Image dataset for Identification and Localization of illusory perception) of the five types of brightness illusions and benchmark the dataset using data-driven neural network based approaches.
Deep Neural Networks for Automatic Grain-matrix Segmentation in Plane and Cross-polarized Sandstone Photomicrographs
The microscopic images of sandstone contain many mineral grains and their surrounding matrix/cement.
State-of-The-Art Fuzzy Active Contour Models for Image Segmentation
In this article, our aim is to review the existing fuzzy active contour models from the theoretical point of view and also evaluate them experimentally on a large set of images under the various conditions.
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