Similarity Images with Hierarchical Graph based on WordNet Thesaurus

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นัศพ์ชาณัณ ชินปัญช์ธนะ

Abstract

- Image retrieval is active research topic in image processing field. There are many research groups that have attempted to improve new technique for better results. However, the model cannot specific enough for representing the meaning of images. In this paper, we present a novel technique of the similarity images on hieratical graph based on WordNet. The model is divided into 3 steps that included (1) prepared the image data (2) related the relationship on images and (3) evaluated with similarity measure. The experimental results indicate that our proposed approach offers significant performance improvements in the interpretation of semantic image with the maximum of 85.7%

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How to Cite
[1]
ชินปัญช์ธนะน., “Similarity Images with Hierarchical Graph based on WordNet Thesaurus”, JIST, vol. 6, no. 1, pp. 8-15, Jun. 2016.
Section
Research Article: Soft Computing (Detail in Scope of Journal)

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