| 基于粒子群优化的文本图像倾斜检测 |
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| 引用本文： | 乔德江,陈鸿昶. 基于粒子群优化的文本图像倾斜检测[J]. 通信技术, 2009, 42(7): 266-267 |
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| 作者姓名： | 乔德江 陈鸿昶 |
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| 作者单位： | 国家数字交换系统工程技术研究中心,河南,郑州,450002 |
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| 摘 要： | 文中提出一种基于粒子群优化算法和Fourier变换的无限制文本倾斜检测方法，首先对扫描的文本图像进行Fourier变换，然后利用Fourier变换的幅度谱水平投影的方差作为算法的适应度函数，最后利用粒子群优化算法在-90°-90°之间搜索，得到准确的倾斜角度。
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| 关 键 词： | 倾斜检测 Fourier变换 粒子群优化算法 |
Skew Detection of Document Images Based on Particle Swarm Optimization |
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| QIAO De-jiang,CHEN Hong-chang. Skew Detection of Document Images Based on Particle Swarm Optimization[J]. Communications Technology, 2009, 42(7): 266-267 |
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| Authors: | QIAO De-jiang CHEN Hong-chang |
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| Affiliation: | (National Digital Switching System Engineering and Technological Research Center, Zhengzhou Henan 450002, China) |
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| Abstract: | A unconstrained skew detection method based on Fourier decomposition and particle swarm optimization（PSO） is proposed. The scanned document images are first decomposed by using Fourier transform. Then the variance of horizontal projection of Fourier transform is used to evaluate the fitness function of PSO. Finally, the PSO is used to find the correct skew angle in the whole searching space from -90° to 90° . |
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| Keywords: | skew detection Fourier decomposition particle swarm optimization |
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