In the meantime, a new visual feature extraction algorithm is derived.
同时，得出了一种新的视觉特征提取算法。
Thus, image segmentation algorithm and image visual feature extraction method are briefly introduced at the beginning of this paper.
因而，一开始即简要介绍了图像分割算法以及基本的图像视觉特征提取方法。
The principal research of content based image retrieve (CBIR) includes two aspects: visual feature representation and similarity measurement.
基于内容的图像检索(CBIR)技术的研究主要包括两个方面：可视化特征提取和相似性度量。
The description scheme divides the image information into metadata, visual feature and semantic feature and represents it by the XML norm in W3C.
该描述模式将图像信息分为元数据、视觉特征和语义特征三个层次来具体描述，并用W3C的XML规范进行表示。
Based on image Processing and database Management System, Content Based image Retrieval (CBIR) is employed to obtain approximate results from image database, using the visual feature of images.
基于内容的图像检索技术是利用计算机图像处理和数据库管理系统，把图像的可视特征作为数据库检索的依据，对图像数据库进行近似检索。
First, a visual feature-based 2d shape blending method is presented.
首先，提出了基于视觉特征分解的二维形体渐变方法。
The content of images include color, texture, shape and other visual feature.
图像的内容包括颜色、纹理、形状等视觉特征。
The intricate interspersing of formal structure transforms the flat visual feature of literati painting into a fierce, exciting emotional experience.
也以繁复错落的造型结构改变了文人绘画扁平的视觉特性，呈现一种激烈、刺激的情绪。
This paper has a further exploration and study of visual feature extraction depending on analyzing correlative technology of the automatic annotation.
本文通过分析图像语义自动标注的相关技术，深入探讨和研究了图像视觉特征的提取方法。
This paper has a further exploration and study of visual feature extraction depending on analyzing correlative technology of the automatic annotation.
本文通过分析图像语义自动标注的相关技术，深入探讨和研究了图像视觉特征的提取方法。
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