In this study, functional near-infrared spectroscopy (fNIRS) is utilized to measure the hemodynamic responses (HRs) in the visual cortex of 14 subjects (aged 22–34 years) viewing the primary red, green, and blue (RGB) colors displayed on a white screen by a beam projector. The spatiotemporal characteristics of their oxygenated and deoxygenated hemoglobins (HbO and HbR) in the visual cortex are measured using a 15-source and 15-detector optode configuration. To see whether the activation maps upon RGB-color stimuli can be distinguished or not, the t-values of individual channels are averaged over 14 subjects. To find the best combination of two features for classification, the HRs of activated channels are averaged over nine trials. The HbO mean, peak, slope, skewness and kurtosis values during 2–7 s window for a given 10 s stimulation period are analyzed. Finally, the linear discriminant analysis (LDA) for classifying three classes is applied. Individually, the best classification accuracy obtained with slope-skewness features was 74.07% (Subject 1), whereas the best overall over 14 subjects was 55.29% with peak-skewness combination. Noting that the chance level of 3-class classification is 33.33%, it can be said that RGB colors can be distinguished. The overall results reveal that fNIRS can be used for monitoring purposes of the HR patterns in the human visual cortex.

水果的颜色是水果分级的重要依据，影响着消费者的购买欲望。研究了一种基于RGB 颜色模型的红富士苹果表皮红色区域检测算法。通过苹果RGB 图像的光照补偿，降低光照变化和不均匀性带来的影响。在此基础上，计算各像素R、G、B 分量的G/B 和R/G 比值，通过训练获得其分割阈值，实现苹果图像和背景的准确分割。最后用超红-超绿阈值分割法检测分割后的苹果图像的红色区域并计算其面积。实验结果表明：基于RGB 颜色空间的红富士苹果表皮红色区域检测算法能够准确地检测出果皮表面的红色区域，满足红富士苹果颜色等级检测的需要。

Aluminum metallization using the sprayed coating for exhaust mild steel (MS) pipes of tractors is a standard practice for avoiding rusting. Patches of thin metal coats are prone to rusting and are thus considered as defects in the surface coating. This paper reports a novel configuration of the fiber optic sensor for on-line checking the aluminum metallization uniformity and hence for defect detection. An optimally chosen high bright 440 nm BLUE LED (light-emitting diode) launches light into a transmitting fiber inclined at the angle of 60° to the surface under inspection placed adequately. The reflected light is transported by a receiving fiber to a blue enhanced photo detector. The metallization thickness on the coated surface results in visually observable variation in the gray shades. The coated pipe is spirally inspected by a combination of linear and rotary motions. The sensor output is the signal conditioned and monitored with RISHUBH DAS. Experimental results show the good repeatability in the defect detection and coating non-uniformity measurement.

为了提高基于指尖的人机交互系统的环境适应能力和指尖检测的精准度,针对肤色易受环境中类肤色区域的干扰和指尖特征不明显的问题,在研究YCbCr色彩空间各参量与肤色的关系基础上,提出将(Cr+Cb)/2与(Cr-Cb)作为新的肤色识别参量进行手部提取,利用子区域对手部轮廓进行优化,突出指尖特征,并依靠所建立的轮廓点状态描述方程对指尖进行检测和跟踪。实验结果表明该方法能有效排除类肤色区域和手指轮廓不足对指尖检测造成的影响,具有较高的检测精度。

量子点红外探测器（QDIP）在红外探测领域具有十分广阔的应用前景，同时由于QDIP的有效载流子寿命长、暗电流低、工作温度高、对垂直入射光响应等优势，近年来高性能QDIP已经成为研究的热点。文章首先简要介绍了QDIP的基本原理，然后重点介绍了目前国际上在提高QDIP性能方面的研究进展，分别从如何降低暗电流、实现多色探测、提高探测率等三个方面进行了讨论。

介绍了色敏器件的结构、制作工艺、工作原理、信号处理电路的发展以及利用信息处理技术和集成电路技术实现智能化颜色探测的应用前景.提出了通过改进材料、工艺和结构来增强色敏器件蓝紫光响应的具体措施.

设计了适于红外双色探测器的光学系统. 该系统在两个波段内同时较好的满足了像差校正.波前差小于1/4波长,光学传递函数接近衍射极限. 该系统透射比高,设计结构紧凑,片数小.降低了对工艺水平的要求.

针对人脸的色度特性、运动特性和几何特性,提出了一种新的方法进行人脸检测.首先结合色度分析和运动检测排除非人脸区域,未被排除的区域作为人脸候选区域,再根据人脸区域的几何特征和事先训练好的支撑向量机进行验证,从而最后检测出人脸.该方法的优点是将人脸的检测工作分成独立的两个模块,第一模块尽可能减少漏检率,第二模块减少虚检率.采用这样的系统结构可以提高检测成功率和系统响应度.