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imagemosic
- 针对基于图像特征点的配准方法中对应特征对难以准确提取的问题,提出一种基于兴趣 点匹配的图像自动拼接方法。该方法首先利用Harris角检测器提取两幅图像中的兴趣点,并在此基 础上采用比较最大值法提取出对应兴趣点特征对,最后利用这些匹配特征对来实现图像的拼接。实 验结果表明,这种方法能有效地去除伪匹配特征对的干扰,同时降低了误匹配的概率-Feature points for image-based registration method of the corresponding char
MutuaInformationandinterestpoints
- 提出了一种优化的图像配准算法。首先把图像中的兴趣点及其角度信息提取出来，利用互信息准则，得到需要的配对点，得到两幅或多幅图像的拼接自然的完整图像, 实验表明，该算法是有效的。-An optimized image registration algorithm. First of all, the image of interest points and their point of view of information extracted, using the criteria of mutu
Image-Splicing
- Splicing operation may introduce inconsistencies in organized as follows. In Section 2, we introduce scene illumination estimation methods. In Section 3, the proposed method based on illumination inconsistency is introduced. Section 4 present
image-mosaicking
- 影像拼接技术，采用多幅影像对其进行专业处理，做出符合生产需求的影像-Image splicing technology, the use of multiple image to professional processing, to meet production requirements
fingerPrint
- 详细描述指纹图像的拼接算法，拼接速度快，效果好，经过测试在STM32单片机上也能达到很好的效果-A detailed descr iption of fingerprint image stitching algorithm, splicing speed, good effect, after testing on the STM32 MCU can achieve very good effect