【摘要】 利用不完全Beta变换对红外图像进行自适应的增强处理。变换的参数利用混沌优化算法给出。为了提高优化迭代的计算速度,运用BP神经网络对不完全Beta变换进行函数逼近。仿真结果表明,该算法能自适应地进行图像增强处理。增强后的图像灰度分布更均匀,对比度得到明显提高。更多还原

【Abstract】 The incomplete beta transformation is used to process the infrared images enhancement.The parameters of the transformation are provided by chaotic optimization method.To improve the optimization iterative epoch,a BP neural net-work are trained to approximate the incomplete beta transformation function.The simulation results show that the above algorithm is able to adaptively enhance the images grey.The enhanced images have more equal grey distribution.So the contrast is rapidly progressed.更多还原