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- W2294927110 abstract "The use of medical images by medical practitioners has increased to an extent that computers have become a necessity in the image processing and analysis. This research investigates if the Edge density and Local Directional Pattern can be used to characterize medical images. The performance of the Edge density and Local Directional Pattern features is assessed by finding their accuracy to retrieve images of the same group from a database. The combination of the Edge density and Local Directional Pattern features has shown to produce good results in both, classification of medical images and image retrieval. For the classification using the nearest neighbor and 5-nearest neighbor techniques yielded 98.2 % and 99.6 % classification success rates respectively and 99.4 % for image retrieval. The results achieved in this research work are comparable to other approaches used in literature." @default.
- W2294927110 created "2016-06-24" @default.
- W2294927110 creator A5054315649 @default.
- W2294927110 date "2015-01-01" @default.
- W2294927110 modified "2023-09-25" @default.
- W2294927110 title "Characterization of Medical Images Using Edge Density and Local Directional Pattern (LDP)" @default.
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- W2294927110 doi "https://doi.org/10.1007/978-3-319-20801-5_43" @default.
- W2294927110 hasPublicationYear "2015" @default.
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