Traditional techniques of CBIR try to retrieve images through analyzing the similarity of image visual features, but CBIR cannot meet the requirements of semantic image retrieval.
传统CBIR技术试图通过分析图像视觉特征的相似性来检索图像，这不能满足普通人按语义检索图像的需求。
Texture is one of the important visual features in image analysis.
纹理作为一种重要的视觉特征，广泛应用于图像分析。
Floating object tracking in the whole working space of a camera can be obtained through selecting image features, and Kalman filtering control was adopted to realize visual servo control of robot.
通过适当的选取图像特征，实现了摄像机工作空间运动目标跟踪的视觉伺服任务，并采用扩展卡尔曼滤波控制方法完成机器人视觉伺服控制。
Perceptual grouping refers to the human visual ability to extract significant image relations from lower-level primitive image features without any knowledge of the image content.
感知归类是指人们在不拥有任何图像内容知识的前提下，从底层原始图像特征中提取有效的图像联系的一种视觉能力。
In the fourth chapter the analysis for the visual features, the adaptive clustering and the extraction of the image area with the image similar visual brightness are analyzed.
第四章分析了图像视觉特征的邻域矩特征描述，并对邻域矩特征进行自适应聚类提取边界和图像目标的视同灰度的提取。
The shape, as the most common features of the image, contains lots of visual informations.
图像的形状包含了大量的视觉信息，是最常用的图像特征。
The semantic gap between image semantic and visual features will be solved in image annotation.
图像语义的标注需要解决图像高层语义和底层特征间存在的语义鸿沟。
The new image improves the visual effect and extracts the features of original image, which provide richer, more useful and reliable information for practical applications.
新图像改善了源图像的视觉效果，提取了源图像特征信息，为实际应用提供了更丰富、更有用、更可靠的信息。
First, this paper st udies those visual features which have be en usually implemented in image correspondence including multi-scale features.
首先，本文研究了在图像配准中常用的一些视觉特征，其中包括多尺度的特征。
The contents of image include low level visual features and high level semantic in image retrieval based on content.
在基于内容的图像检索中，图像的内容包括图像的低层视觉特征和高层语义。
CBIR is an image retrieval technology, which synthesizes various visual features in digital image, such as color, textual, and shapes features.
基于内容的图像检索是一种利用图像的颜色、纹理、形状等视觉特征进行图像检索的技术。
CBIR is an image retrieval technology, which synthesizes various visual features in digital image, such as color, textual, and shapes features.
基于内容的图像检索是一种利用图像的颜色、纹理、形状等视觉特征进行图像检索的技术。
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