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相干光相关器
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     QUANTITATIVE ANALYSIS OF INTERFERENCE CONDITIONS OF LIGHT
     相干条件的定量分析
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     On the Partial Coherence of Light
     论的部分相干
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     SPACE-INTEGRATING ACOUSTO-OPTIC CORRELATOR
     空间积分声相关器
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     Acoustooptic Correlator Interference-Free Experiment
     声相关器抗干扰实验
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     ORBIT OF LIGHT
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A compact fast hybrid image matching system for landform matching is presented, which uses cycle encoding method to realize gray scale absolute difference measurement in an incoherent correlator to perform pattern recognition. The judgment can be gotten from optical result by thresholding. Not only the system is very simple, but also has good distortion invariant ability for scaling, rotation and shifting. The recognition speed of the system is 13 pictures per second.

构建了一个用于地形匹配的紧凑型快速光电图像识别器。系统的工作原理是利用空间移位编码方法,在非相干光相关器中一步完成灰阶图象绝对差度量处理,有效地实现图像的模式识别。光学处理的结果通过计算机的阈值分割方法来实现对目标的准确判断。系统基于非相干光相关器,不仅结构简单,并且对输入图像的尺度、旋转、位移及照度的畸变具有一定的不变性。对实时输入的图像具有每秒钟13幅的识别速度,识别正确率大于90%,对8°以内的旋转畸变、30%以内的Gauss噪声干扰以及50%以内的图像缺损具有相当好的容错能力。

In this paper, a multi channel optical target recognition approach based on morphological hit or miss transformation and incoherent correlator is presented. It effectively improves the recognition speed compared to previous single channel approach and shows the parallelism and fastness of optical methods is target recognition area. A four channel structure is constructed and the experimental results in which frontal images of human faces are used as the subjects are given.

本文以形态学击中击不中变换作为理论依据,以非相干光相关器作为光学实现硬件,推导了在非共轴相关条件下相关点位置的计算公式。基于系统的平移不变性,在无需增加任何分束器的情况下实现了多通道并行处理方案,不仅充分利用了空间光调制器的工作幅面,而且大大提高了识别速度,体现了光学方法的并行性和快速性。文中给出了用四通道结构,以正面人脸图像作为测试对象的实验结果。

The concepts of uncertain pixel and pattern are used to improve the distortion invariant ability of morphological hit or miss transformation (HMT). A method called jointrank order multi value hit or miss transformation (JRMVHMT) is introduced, which reduces the decision effect of the pixels that is easily disturbed by rotation and scaling distortion. Because of not losing information of the input images, JRMVHMT can realize the precision recognition between two images and has a better distortion invariant...

The concepts of uncertain pixel and pattern are used to improve the distortion invariant ability of morphological hit or miss transformation (HMT). A method called jointrank order multi value hit or miss transformation (JRMVHMT) is introduced, which reduces the decision effect of the pixels that is easily disturbed by rotation and scaling distortion. Because of not losing information of the input images, JRMVHMT can realize the precision recognition between two images and has a better distortion invariant ability for scaling and rotation than the ordinary HMT. The comparison of JRMVHMT with the ordinary HMT in theoretic analysis and experiments is given. Based on an incoherent correlator and multil value complementary encoding, JRMVHMT is realized for binary image recognition and gets satisfying results.

对用于目标识别技术的形态学击中击不中变换进行了分析,引入不确定点和模式的概念使得容易受到畸变干扰的像素点对判别结果的作用降低,得到联合排序多值击中击不中变换,从而在不损失图像信息的前提下,提高了目标识别的抗畸变能力,并且具有在输入图像和参考模板之间进行精确匹配的能力。基于非相干光相关器,利用新颖的多值互补编码方法,实现了二值图像的联合排序多值击中击不中变换,达到了较好的实验结果

 
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