A Novel Image Feature Extraction Approach Using Enhanced Edge Information

Yinan WANG; Nuo ZHANG; Toshinori WATANABE; Hisashi KOGA

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A Novel Image Feature Extraction Approach Using Enhanced Edge Information

机译：利用增强边缘信息的图像特征提取方法

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The Local Binary Pattern (LBP) operator is designed for local feature description. In this study we adapt LBP for image matching. The proposed approach performs a modified LBP to extract enhanced edge information, followed by Scale Invariant Feature Transform (SIFT) which matches extracted features. We validated the proposed approach on data with various photography conditions (scale, rotation, blurring, and illumination). The results showed high performance of the proposed approach.

机译：本地二进制模式（LBP）运算符设计用于本地特征描述。在这项研究中，我们将LBP应用于图像匹配。所提出的方法执行修改后的LBP来提取增强的边缘信息，然后匹配匹配所提取特征的比例不变特征变换（SIFT）。我们使用各种摄影条件（比例，旋转，模糊和照明）验证了该方法的有效性。结果表明，该方法具有较高的性能。

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《電子情報通信学会技術研究報告》 |2012年第500期|p.1-6|共6页
作者
Yinan WANG; Nuo ZHANG; Toshinori WATANABE; Hisashi KOGA;
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作者单位

Graduate School of Information Systems, the University of Electro-Communications, 1-5-1 Chofugaoka, Chofu-shi, Tokyo, 182-8585 Japan;

Graduate School of Information Systems, the University of Electro-Communications, 1-5-1 Chofugaoka, Chofu-shi, Tokyo, 182-8585 Japan;

Graduate School of Information Systems, the University of Electro-Communications, 1-5-1 Chofugaoka, Chofu-shi, Tokyo, 182-8585 Japan;

Graduate School of Information Systems, the University of Electro-Communications, 1-5-1 Chofugaoka, Chofu-shi, Tokyo, 182-8585 Japan;

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正文语种 eng
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关键词
image matching; local binary pattern (LBP); scale invariant feature transform (SIFT);

机译：图像匹配;本地二进制模式（LBP）;尺度不变特征变换（SIFT）;
入库时间 2022-08-18 00:28:58

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1. A Novel Image Feature Extraction Approach Using Enhanced Edge Information [J] . Yinan WANG, Nuo ZHANG, Toshinori WATANABE, 電子情報通信学会技術研究報告 . 2012,第499期

机译：利用增强边缘信息的图像特征提取方法
2. A Novel Image Feature Extraction Approach Using Enhanced Edge Information [J] . Yinan WANG, Nuo ZHANG, Toshinori WATANABE, 電子情報通信学会技術研究報告. ヒュ-マン情報処理. Human Information Processing . 2011,第500期

机译：利用增强边缘信息的图像特征提取方法
3. A Novel Image Feature Extraction Approach Using Enhanced Edge Information [J] . Yinan WANG, Nuo ZHANG, Toshinori WATANABE, 電子情報通信学会技術研究報告. パターン認識·メディア理解. Pattern Recognition and Media Understanding . 2011,第499期

机译：利用增强边缘信息的图像特征提取方法
4. Using the canny edge detector for feature extraction and enhancement of remote sensing images [C] . Ali, M., Clausi, Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International . 2001

机译：使用Canny边缘检测器进行特征提取和增强遥感图像
5. Feature extraction from the image of straight-edge objects and dynamic image/feature classification using non-iterative neural networks. [D] . Chanekasit, Sirikanlaya. 2004

机译：使用非迭代神经网络从直边物体的图像中提取特征并进行动态图像/特征分类。
6. Extraction of Lesion-Partitioned Features and Retrieval of Contrast-Enhanced Liver Images [O] . Mei Yu, Qianjin Feng, Wei Yang, 2012

机译：病变分割特征的提取和对比增强的肝脏图像的检索
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A Novel Image Feature Extraction Approach Using Enhanced Edge Information

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