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Fast Image Retrieval of Textile Industrial Accessory Based on Multi-Feature Fusion

Fast Image Retrieval of Textile Industrial Accessory Based on Multi-Feature Fusion
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摘要 A hierarchical retrieval scheme of the accessory image database is proposed based on textile industrial accessory contour feature and region feature. At first smallest enclosed rectangle[1] feature (degree of accessory coordination) is used to filter the image database to decouple the image search scope. After the accessory contour information and region information are extracted, the fusion multi-feature of the centroid distance Fourier descriptor and distance distribution histogram is adopted to finish image retrieval accurately. All the features above are invariable under translation, scaling and rotation. Results from the test on the image database including 1,000 accessory images demonstrate that the method is effective and practical with high accuracy and fast speed. A hierarchical retrieval scheme of the accessory image database is proposed based on textile industrial accessory contour feature and region feature. At first smallest enclosed rectangle~[1] feature (degree of accessory coordination) is used to filter the image database to decouple the image search scope. After the accessory contour information and region information are extracted, the fusion multi-feature of the centroid distance Fourier descriptor and distance distribution histogram is adopted to finish image retrieval accurately. All the features above are invariable under translation, scaling and rotation. Results from the test on the image database including 1,000 accessory images demonstrate that the method is effective and practical with high accuracy and fast speed.
作者 沈文忠 杨杰
出处 《Journal of Donghua University(English Edition)》 EI CAS 2004年第3期117-122,共6页 东华大学学报(英文版)
关键词 content based retrieval smallest enclosed rectangle (SER) hierarchical retrieval Fourier descriptor feature fusion 图像恢复 最小内封矩形 傅里叶描述子 图像提取
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