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Novel algorithm on optical/digital invariant recognition of two-dimensional patterns with straight lines

机译:直线二维图案光学/数字不变识别的新算法

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Abstract: A novel opto-digital pattern recognition method which has the shift, rotation, and scale invariant properties is proposed for recognizing 2D images having straight lines. The proposed method is composed of three stages. In the first stage, the line features of the image are extracted. The second stage imposes the shift, rotation, and scale invariant properties on the extracted features through the proposed operations. In the last stage, an artificial feed forward neural network is trained with the extracted features. To evaluate the proposed algorithm, nine different binary edge enhanced images are utilized as the experimental patterns. The successful recognition results through the computer simulation and the opto-digital experiment are presented.!14
机译:摘要:提出了一种具有位移,旋转和比例不变属性的新型光电数字模式识别方法,用于识别具有直线的二维图像。所提出的方法包括三个阶段。在第一阶段,提取图像的线特征。第二阶段通过拟议的操作将平移,旋转和比例不变属性施加于提取的特征上。在最后阶段,使用提取的特征训练人工前馈神经网络。为了评估所提出的算法,将九个不同的二进制边缘增强图像用作实验模式。给出了通过计算机仿真和光电实验获得的成功识别结果!14

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