摘要
针对TCS230颜色传感器对颜色的RGB频率值采集速度快、精度高而难以精确判断具体颜色的问题,提出了融入模糊算法进行颜色识别的方法。采用可编程的TCS230颜色传感器搭建的非接触式的RGB频率值的采集电路,对采集到的RGB频率值进行模糊化,根据由离线的样本数据确定出的模糊关系进行计算,得出模糊输出,最终解模糊并清晰化后就可以得出物体的颜色。通过智能小车的颜色识别实验表明,采用该方法在颜色识别方面准确度高,计算量少,能较为理想的进行颜色的识别分类。
According to problem of TCS230 color sensor on the quick acquisition speed about the color RGB frequency value, high precision but difficult to precisely determine the specific color, the fuzzy algorithm is presented forward into color recognition. The non-contact acquisition circuit for RGB frequency value is used, which is composed of programmable TCS230 color sensor, the acquisition of RGB frequency values is fuzzed, then it is calculated by fuzzy relation which comes from determination of off-line sample data, the fuzzy output is obtained, and the fuzzy is solved and cleared for color identification. The experiment of intelligent vehicle about color identification proves that the method is accurate in color recognition with less amount of calculation and the identifying classification of color is ideal.
出处
《光学技术》
CAS
CSCD
北大核心
2013年第4期377-380,共4页
Optical Technique
基金
陕西省科学基金(2009JK571)
