In this paper, a new approach to the image retrieval problem is presented, that uses edge potential functions (EPF) and genetic algorithms (GA).
In this paper, a new approach to the image retrieval problem is presented, that uses edge potential functions (EPF) and genetic algorithms (GA).
In this paper, a new approach is presented that addresses the problem of matching visual objects in digital images by combining the concept of edge potential ...
The edge potential function (EPF) approach is a promising edge-based shape matching tool for visual target recognition, and describes the similarity between ...
The method, called Weighted Edge Potential Function, is a significant improvement of the EPF similarity measure, which models the image edges as charged ...
This paper focuses on using machine learning and information retrieval techniques to classify an image as belonging to one of many classes based on its shape.
Sep 6, 2005 · Edge Potential Functions (EPF) and Genetic Algorithms (GA) for Edge-Based Matching of Visual Objects. Edges are known to be a semantically rich ...
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Massa, “Edge potential functions and genetic algorithms for shape-based image retrieval,” Proceedings of 2003 International Conference on Image Processing.
This paper provides an review of the relevance feedback (RF), interactive genetic algorithm and neural network in content-based image retrieval (CBIR) .
Abstract — This paper describes the development and implementation of feature selection for content based image retrieval. We are working on CBIR system ...
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