【摘要】 针对内窥镜CCD内置自动增益实现照度补偿的技术缺陷,提出一种智能化、自动化的内窥镜照度调节算法。该算法通过建立人体器官经典彩色图像及其色彩特征数据库,对实时采集的图像进行偏色和亮度校正,求取亮度校正后的图像三基色均值等步骤,能够根据内窥镜探测到的临床病人体内器官的表面形态对光照度的反射情况,自动地实现辅助光源出射强度的优化调节,使内窥镜临床成像清晰度得到有效提高,同时还使得检测效率显著提升。更多还原

【Abstract】 For the technical defects of the automatic gain illumination compensation built-in CCD of endoscope,this paper presents an intelligent,automated adjustment algorithm of endoscope illumination.Through the establishment of the classic color images and color characteristics database of human organs,the color cast and brightness correction of real-time acquisition image,strike image tricolor mean after the brightness correction,the algorithm can automatically optimized adjustment of the emitted intensity of the secondary light source according to the reflection of the illumination from the surface morphology of the clinical patient’s body or-gans detected by the endoscope.Therefore,the clinical endoscope imaging sharpness can be effective to improve,but also makes the detection efficiency significantly is improved.更多还原