Search
Now showing items 1-10 of 17
A Descriptive Tolerance Nearness Measure for Performing Graph Comparison
(IOS Press, 2018-11-03)
This article proposes the tolerance nearness measure (TNM) as a computationally reduced alternative to the graph edit distance (GED) for performing graph comparisons. The TNM is defined within the context of near set theory, ...
Leveraging Guided Backpropagation to Select Convolutional Neural Networks for Plant Classification
(2022-05-11)
The development of state-of-the-art convolutional neural networks (CNN) has allowed researchers to perform plant classification tasks previously thought impossible and rely on human judgment. Researchers often develop ...
Neighbourhood-based vision systems
(Taylor and Francis, 2011)
The problem presented in this paper is how to find similarities between digital images useful in design cybernetic vision systems. The solution to this problem stems from a neighbourhood based vision system. A neighbourhood ...
Descriptive Topological Spaces for Performing Visual Search
(Springer, 2019-02-02)
This article presents an approach to performing the task of visual search in the context of descriptive topological spaces. The presented algorithm forms the basis of a descriptive visual search system (DVSS) that is based ...
Perceptual image analysis
(Inderscience Enterprises Ltd., 2010)
The problem considered in this paper is one of extracting perceptually relevant information from groups of objects based on their descriptions. Object descriptions are qualitatively represented by feature-value vectors ...
Arthritic hand-finger movement similarity measurements: Tolerance near set approach
(Hindawi Publishing Corporation, 2011)
The problem considered in this paper is how to measure the degree of resemblance between nonarthritic and arthritic hand movements during rehabilitation exercise. The solution to this problem stems from recent work on a ...
A Deep Learning Framework: Land-Use/Land-Cover Mapping and Analysis using Multispectral Satellite Imagery
(Springer, 2019-07-17)
In this article, we present an approach to land-use and land-cover (LULC) mapping from multispectral satellite images using deep learning methods. The terms satellite image classification and map production, although used ...
Measuring the nearness of layered flow graphs: Application to Content Based Image Retrieval
(IOS Press, 2016-03-01)
Rough set based flow graphs represent the flow of information for a given data set where
branches of these could be constructed as decision rules. However, in the recent years, the
concept of flow graphs has been applied ...
Automated Land Use and Land Cover Map Production: A Deep Learning Framework
(University of Winnipeg, 2018-10-19)
In this thesis, we present an approach to automating the creation of land use and land cover (LULC) maps from satellite images using deep neural networks that were developed to perform semantic segmentation of natural ...
Automated LULC Map Production using Deep Neural Networks
(Taylor & Francis, 2019-01-17)
This article presents an approach to automating the creation of land-use/land-cover classification (LULC) maps from satellite images using deep neural networks that were developed to perform semantic segmentation of natural ...