【摘要】 针对美元图像特点,先采用改进的模糊增强算法对图像进行增强,而后根据其直方图能量分布,得到一种有自动适应能力并获取最佳阈值的新方法,取代了传统图像处理中采用固定阈值的分割方法,经多次实验仿真、分析,此方法适应能力较强,尤其在噪声较多且复杂的情况下,应用于美元的识别中有着较大的优势,可以达到较好的效果。更多还原

【Abstract】 This paper aims at the characteristics of US dollars,first of all,enhances the image with a improvement algorithm based on fuzzy enhancement theoretics,and then finds a novel algorithm which is according to the energy of the histogram to gain the threshold roboticized instead of the traditional way.The analyzing results of experimentation shows that the approach has a strong adaptability and provides a powerful superiority in the recognition of US dollars,especially when the noise is more and complex.更多还原