Local color and texture extraction and spatial query

Local color and texture extraction and spatial query
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局部颜色和纹理提取及空间查询

DOI:
10.1109/icip.1996.560998
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发表时间:
1996
期刊:
Proceedings of 3rd IEEE International Conference on Image Processing
影响因子:
--
通讯作者:
Shih
Shih
中科院分区:
--
文献类型:
--
作者:
John R. Smith;Shih

文献摘要

被引文献

相似文献

本文提出了一个统一的系统来提取、表示和查询空间局部化的颜色和纹理区域。该系统利用二进制特征集的反投影来识别和提取突出区域。二进制特征集提供了一个有效的和容易索引的颜色和纹理表示。我们还提供了一个机制,通过结合二进制颜色和纹理特征集的功能。这使得联合颜色和纹理区域的提取和表示成为可能。由于所有提取的区域都是空间定位的,因此在图像数据库查询中,用户可以指定区域的位置和空间边界。提出了统一的颜色和纹理反投影方法,并描述了其在VisualSEEk基于内容的图像检索系统中的实现。
In this paper we present a unified system for the extraction, representation and query of spatially localized color and texture regions. The system utilizes a back-projection of binary feature sets to identify and extract prominent regions. The binary feature sets provide an effective and easily indexable representation of color and texture. We also provide a mechanism for integrating features by combining the binary color and texture feature sets. This enables the extraction and representation of joint color and texture regions. Since all extracted regions are spatially localized, in image database queries the user can specify the locations and spatial boundaries of regions. We present the unified color and texture back-projection method and describe its implementation in the VisualSEEk content-based image retrieval system.