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

机译:具有直线的二维模式的光/数字不变识别新颖算法

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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.
机译:提出了一种具有换档,旋转和缩放不变性特性的新型光度模式识别方法,用于识别具有直线的2D图像。所提出的方法由三个阶段组成。在第一阶段,提取图像的线特征。通过所提出的操作,第二阶段对提取的特征施加偏移,旋转和缩放不变性质。在最后阶段,用提取的特征培训人工馈送前向神经网络。为了评估所提出的算法,利用九个不同的二进制边缘增强图像作为实验模式。提出了通过计算机仿真和光学数字实验的成功识别结果。

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