In order to achieve the result of exact and quick positioning, describe indoor position algorithm on block match of image sequence.
为实现精准、快速的定位效果，阐述了以块匹配法为核心，基于序列图像的室内定位算法；
To make blocks match better, the algorithm improves the accuracy of similarity measurement through subdividing image block.
在块匹配时，将图像块进一步细分，改进了相似度测量算法的准确性。
We use two different image segmentation methods, histogram algorithm and match algorithm, to implement image segmentation and compare the advantage and disadvantage of two methods.
用两种不同的图像分割方法(直方图阈值法和匹配法)实现图像分割，并且对两种方法的优缺点做了比较。
In this paper, the algorithm adapted, in the repetitive texture, such as relatively large rotation more difficult to automatically match occasions can still achieve an accurate image registration.
本文提出的算法适应性较强，在重复性纹理、旋转角度比较大等较难自动匹配场合下仍可以准确实现图像配准。
In this paper, the algorithm adapted, in the repetitive texture, such as relatively large rotation more difficult to automatically match occasions can still achieve an accurate image registration.
本文提出的算法适应性较强，在重复性纹理、旋转角度比较大等较难自动匹配场合下仍可以准确实现图像配准。
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