Color Feature Extraction and Description for Image Retrieval
| Autor: | Liang,Chun-Wei, 梁峻偉 |
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| Rok vydání: | 2016 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 104 One of the difficulties in searching natural images is the semantic gap between low-level pixel data and the content that is perceived by human. We observed that when viewing images, human perception often focuses on the major color regions and ignores small, isolated sectors. Thus, instead of considering all pixels in the images, which is usually inefficient and prone to noise, we examined and utilized color features after image segmentation. First, Gaussian smoothing was applied to images which was then followed by object-based segmentation. Clusters which contained high percentage of the total number of pixels were selected and then factored to sixteen predefined color basis vectors. The vectors were then multiplied by the corresponding percentages and the aggregated final color features would represent the image. We used the Corel-1000 database to evaluate our approach. The result indicated that our method has good precision rates in retrieving images in categories of horse, flower and dinosaur. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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