The classic colorization algorithms of night vision image are summarized and discussed. Secondly, while access to the same scene for the infrared ( 700nm ) and low light ( 700nm ) images is proposed based on the color lookup table algorithm dual-band color video. 对夜视图像的经典彩色化算法进行了总结和探讨。其次,针对同时获取的同一场景的红外(700nm)和微光(700nm)图像,提出基于颜色查找表(CLT)的双波段视频彩色化算法。
Finally, the visual system interface between human and computer is programmed with VC + + 6.0. And the RGB color lookup table based on HSI is structured. Polynomial image distortion correction and algorithm to identify the color match are also programmed. 最后,采用VC++6.0编程实现大场地足球机器人视觉系统的人机交互界面,并对基于HSI的RGB颜色查找表(CLT)构造、图像的多项式畸变校正、色标的识别算法做了编程实现。
As for color processing, the currently popular Color Lookup Table(CLT) algorithm is accurate and efficient in fixed illuminating environment and cannot adapt varying illumination. 对于颜色处理,目前普遍采用的颜色查找表(CLT)方法在固定光照下准确有效,但是当光照条件改变时适应性较差。
Color Space Conversion : The color space conversion with three-dimensional lookup table ( 3D LUT ) method and artificial neural network ( ANN ) method is studied. 颜色空间转化:对曝光系统颜色空间转化的三维查表(3DLUT)和人工神经网络(ANN)方法进行了研究。
Experiments indicate that the special selections of the initial value and the constraint can improve the accuracy of the color calibration and reduce iterative times of the Sequential Quadratic Programming method to increase the speed of setting up the lookup table. 试验结果表明:通过给优化算法选择好的优化初值、优化界限,可改善查找表的校正精度,大大减少优化过程的迭代次数,提高建表速度。