Nov 30, 2013 · We address this question by proposing a novel, simple, yet very powerful biologically-inspired filtering (BF) which simulates the performance of human retina.
We address this question by proposing a novel, simple, yet very powerful biologically-inspired filtering (BF) which simulates the performance of human retina.
This paper proposes an integration of LBP and Scattering Transform to take full advantages of both local and global features, and further integrates a new ...
Within the domain of texture classification, a lot of effort has been spent on local descriptors, leading to many powerful algorithms.
The aim of this paper was to use biologically inspired mechanisms for features extraction and random forests as a classifier to enhance the texture ...
Aug 13, 2018 · Bibliographic details on Improving Texture Categorization with Biologically Inspired Filtering.
In the proposed approach, given a texture image, after applying a difference of Gaussian (DoG) filter to detect the edges, we first split the filtered image ...
Mar 27, 2021 · Texture classification is used extensively in computer vision application and images analysis. The aim of this paper was to use biologically ...
Improving texture categorization with biologically-inspired filtering. NS Vu, TP Nguyen, C Garcia. Image and Vision Computing 32 (6-7), 424-436, 2014. 27, 2014.
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Source: Improving Texture Categorization with Biologically Inspired Filtering ... Self-Supervised Learning of a Biologically-Inspired Visual Texture Model.