Firstly, the image is projected on to the orthogonal basis of SVDQ, then the projection coefficient vector is used as algebraic feature of image and applied to recognition.
该方法将图像投影到SVDQ的各个正交基上，得到投影系数向量。将此向量作为图像的代数特征并用于彩色图像识别中。
Using the support vector machine applied in the high altitude unmanned scout distinguishing image goal of remote sensing, and draw to carry out thorough research for feature value.
将支持向量机应用于高空无人侦察机的遥感图像目标识别，并且对特征值的提取进行深入研究。
By using calibrated image, it can measure plane absolute displacement of worktable automatically via feature point extraction and gray vector matching.
该方法采用事先通过标定的图像，对自然标志(特征点)的提取和基于灰度向量匹配来完成绝对位移的测量。
The feature vector is composed of wavelet texture energy features, texture features based on the gray-level co-occurrence matrix and the tone of filtered SAR image by using tree wavelet.
该方法将树型小波中颇纹理能量特征、灰度共生矩阵特征、树型小波滤波后的灰度组成的特征矢量对SAR图像进行分类。
We present a method to construct image feature vector using edge and projection of character image. The composing way and normalizing of feature vector are shown.
然后进一步提出根据图像边缘和字符投影特征构造图像特征矢量的思想，以及特征矢量的构成方式和归一化方法。
The thesis presents a semantic vector algorithm, builds up the network of image semantic keywords, and realizes the composite retrieval of the image low-level feature and semantics characteristics.
提出了一种语义向量算法，构建了图像语义关键词网络，实现了图像底层视觉特征和语义的复合索引。
For example, it costs more for storage and the distance computation is quite complex. With the number of images grows, it will be unsuitable for vector based image feature to stay in memory.
当图像数量增长到一定数量后，基于浮点矢量形式表示的图像特征就不适合放置在内存中，欧氏距离的计算也将造成较大的时间开销。
Accordingly, we propose an improved feature extraction scheme, adopting the tone of filtered image combined with the texture features based on the GLCM of unfiltered image to form the feature vector.
针对这种情况，提出了一种改进的特征提取方法，将基于原图像的灰度级共生矩阵提取的纹理特征与滤波后图像的灰度特征进行组合用于分类。
The traditional float vector based image feature is the base of content based image retrieval techniques.
传统的以浮点矢量形式表示的图像特征，是基于内容的图像检索技术的基础。
Secondly, we sorted the feature vector by dictionary, and located the tampered region by utilizing the displacement vectors of image blocks.
然后将特征矢量进行字典排序，并结合图像块的位移矢量，检测且定位出篡改区域。
An image segmentation method based on the velocity feature vector of moving target was proposed.
研究基于速度特征矢量提取运动目标的图像分割方法。
The distance function is used for similarity measure of image feature vector and realizes the matching of feature vector.
用距离函数对图像的特征向量进行相似性度量，从而实现SIFT特征向量的匹配。
Float vector based image feature has high dimension and usually makes use of Euclidean distance as its similarity definition.
浮点矢量图像特征维数较高，且通常以欧氏距离作为矢量之间的相似度定义。
As another application of feature signature, multi-signature based duplicate image detecting method improved the mapping and encoding during vector quantization.
作为特征签名在重复图像检测方面的应用，基于多特征签名的重复图像检测方法改进了矢量量化过程中的编码映射方式。
Motion corner points are chosen to form a feature vector, and the image intensity is used as a feature matching function to measure inter-frame movement of the vehicle.
该方法取运动角点为特征量，通过选择灰度相关函数为特征匹配函数，实现了车辆在一定帧差内移动距离的测量。
Motion corner points are chosen to form a feature vector, and the image intensity is used as a feature matching function to measure inter-frame movement of the vehicle.
该方法取运动角点为特征量，通过选择灰度相关函数为特征匹配函数，实现了车辆在一定帧差内移动距离的测量。
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