# Trademark image retrieval using synthetic features for describing global shape and interior structure

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/trademark-image-retrieval-using-synthetic-features-for-describing-global-shape/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Chia‐Hung Wei,Yue Li,Wing-Yin Chau,Chang‐Tsun Li |
| Citations | 175 |
| DOI | 10.1016/j.patcog.2008.08.019 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | green |
| OA URL | https://figshare.com/articles/journal_contribution/Trademark_image_retrieval_using_synthetic_features_for_describing_global_shape_and_interior_structure/20766970 |
| OpenAlex ID | https://openalex.org/W2089760990 |
| Type | article |
| Year | 2008 |

## Paper authors

- [Yue Li](https://scholariq.org/researchers/yue-li-2/)

## Paper primary topic

- [Image Retrieval and Classification Techniques](https://scholariq.org/topics/image-retrieval-and-classification-techniques/)

## Paper topics

- [Image Retrieval and Classification Techniques](https://scholariq.org/topics/image-retrieval-and-classification-techniques/)
- [Advanced Image and Video Retrieval Techniques](https://scholariq.org/topics/advanced-image-and-video-retrieval-techniques/)
- [Medical Image Segmentation Techniques](https://scholariq.org/topics/medical-image-segmentation-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.