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Compact hybrid optoelectrical unit for image processing and recognition

机译:紧凑型混合光电单元,用于图像处理和识别

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Abstract: In this paper a compact opto-electric unit (CHOEU) for digital image processing and recognition is proposed. The central part of CHOEU is an incoherent optical correlator, which is realized with a SHARP QA-1200 8.4 inch active matrix TFT liquid crystal display panel which is used as two real-time spatial light modulators for both the input image and reference template. CHOEU can do two main processing works. One is digital filtering; the other is object matching. Using CHOEU an edge-detection operator is realized to extract the edges from the input images. Then the reprocessed images are sent into the object recognition unit for identifying the important targets. A novel template- matching method is proposed for gray-tome image recognition. A positive and negative cycle-encoding method is introduced to realize the absolute difference measurement pixel- matching on a correlator structure simply. The system has god fault-tolerance ability for rotation distortion, Gaussian noise disturbance or information losing. The experiments are given at the end of this paper. !18
机译:摘要:本文提出了一种用于数字图像处理和识别的紧凑型光电单元(CHOEU)。 CHOEU的中心部分是一个非相干光学相关器,它是由SHARP QA-1200 8.4英寸有源矩阵TFT液晶显示面板实现的,该面板用作输入图像和参考模板的两个实时空间光调制器。 CHOEU可以做两个主要的加工工作。一种是数字滤波;另一种是数字滤波。另一个是对象匹配。使用CHOEU,可以实现边缘检测算子,以从输入图像中提取边缘。然后,将经过重新处理的图像发送到对象识别单元中以识别重要目标。提出了一种新颖的模板匹配方法用于灰度图像识别。引入了正负周期编码方法,以简单地在相关器结构上实现绝对差测量像素匹配。该系统具有旋转失真,高斯噪声干扰或信息丢失的上帝容错能力。实验在本文末尾给出。 !18

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