灰度相關(guān)和區(qū)域特征的圖像拼接算法

本文提出一種結(jié)合灰度特點和區(qū)域特征的圖像拼接算法。首先采用灰度直方圖均衡化的方法降低光照條件不同造成的灰度差異；其次為減少匹配塊的計算量，在選取的特征塊上計算灰度平均值和每個像素與平均值的絕對差值，然后通過控制閾值來減小搜索范圍；最后引入平滑因子消除拼接痕跡，最終實現(xiàn)無縫拼接。實驗證明，本文算法合理，可行性強，能夠達到良好的拼接效果。

Abstract:

?On the basis of gray correlation and area characters， an algorithm for image mosaic is presented in this paper. Adopting histogram equalization method to reduce grey discrepancy caused by different light conditions firstly. In order to reduce the calculation， the average gray values and the disparity between each pixel and the average values in the selected feature blocks are first computed， and then a threshold is chosen to reduce the search scope. Finally merged overlapped image area data by using smooth factors and then got the whole image without patchlines. The experiments show that the method more effective and more exact for most images.

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