针对具有平移、旋转、缩放变换的序列图像连续拼接，提出一种将基于区域特征的配准算法和基于灰度交叉相关的配准算法相结合的拼接算法。
A new stitching algorithm based on area feature and cross correlation for the sequence image with transformation of translation, rotation and isometric scaling is proposed.
矩不变量在图像进行平移、旋转和尺度变换时保持定值，因此被广泛使用在目标识别、图像分类、图像压缩和场景匹配等各种领域。
The invariable moment, which is invariable to the translation, scaling and rotation of image, is widely used in object recognition, image classification, image condensation, scene matching and so on.
利用支持向量机构造的支持向量值轮廓波变换是一种具有多尺度、多方向和平移不变性的图像表达方法。
Support vector value contourlet transform, which is constructed by support vector machine, is a new kind of image representations which is of multi-scale, multi-direction and shift-invariance.
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