改进鸡群优化算法提升手写文档图像对比度与细节保留
An Improved Chicken Swarm Optimization Algorithm for Handwritten Document Image Enhancement
- 用改进鸡群优化算法优化手写文档图像对比度
- 在多个指标上优于萤火虫、蜂群等算法，细节保留更佳
- 适合需要高质量手写文本增强的场景
鸡群优化是一种模拟鸡群觅食层级行为的新元启发式算法。本文提出一种改进的鸡群优化算法，用于手写文档图像的预处理，通过对比度增强同时保持细节信息。将该算法结果与其他现有元启发式算法（如布谷鸟搜索、萤火虫算法和人工蜂群算法）进行比较。实验表明，所提算法在多个评估指标上显著优于上述方法，取得更优的增强效果。
原文摘要 · Abstract (English)
Chicken swarm optimization is a new meta-heuristic algorithm which mimics the foraging hierarchical behavior of chicken. In this paper, we describe the preprocessing of handwritten document by contrast enhancement while preserving detail with an improved chicken swarm optimization algorithm.The results of the algorithm are compared with other existing meta heuristic algorithms like Cuckoo Search, Firefly Algorithm and the Artificial bee colony. The proposed algorithm considerably outperforms all the above by giving good results.
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