Browsing Christopher J. Henry by Title

Now showing items 10-18 of 18

    • Leveraging Guided Backpropagation to Select Convolutional Neural Networks for Plant Classification 

      Mostafa, Sakib; Mondal, Debajyoti; Beck, Michael A.; Bidinosti, Christopher P.; Henry, Christopher J.; Stavness, Ian (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 ...

    • Measuring the nearness of layered flow graphs: Application to Content Based Image Retrieval 

      Kaur, Kanwarpreet; Ramanna, Sheela; Henry, Christopher (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 ...

    • Metric free nearness measure using description-based neighbourhoods 

      Henry, Christopher J. (Springer, 2013-02-26)
      The focus of this paper is on a metric free nearness measure for quantifying the descriptive nearness of digital images. Regions of Interest (ROI) play an important role in discerning perceptual similarity within a single ...

    • Neighbourhood-based vision systems 

      Henry, Christopher J.; Peters, James F. (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 ...

    • Neighbourhoods, classes, and near sets 

      Henry, Christopher J. (Applied Mathematical Sciences,, 2011)
      The article calls attention to the relationship between neighbourhoods and tolerance classes in the foundations of tolerance near sets. A particular form of tolerance relation is given by way of introduction to descriptively ...

    • Perception-based image classification: Framework for perception-based cybernetics 

      Henry, Christopher; Peters, James F. (Emerald Insight, 2010-08-24)
      Purpose: The purpose of this paper is to present near set theory using the perceptual indiscernibility and tolerance relations, to demonstrate the practical application of near set theory to the image correspondence problem, ...

    • Perceptual image analysis 

      Henry, C.; Peters, J. F. (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 ...

    • Quantifying nearness in visual spaces 

      Henry, Christopher J.; Ramanna, Sheela; Levy, Daniel (Taylor & Francis, 2013)
      Cybernetic vision systems can be deployed in problem domains where the goal is to achieve results similar to those produced by humans. Fundamentally, these problems consist of evaluation of image content between sets of ...

    • Signature-based perceptual nearness: Application of near sets to image retrieval 

      Henry, Christopher J.; Ramanna, Sheela (Birkhäuser, 2013)
      This paper presents a signature-based approach to quantifying perceptual nearness of images. A signature is defined as a set of descriptors, where each descriptor consists of a real-valued feature vector associated with a ...