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Catfish PSO Based Enhancement for Digital Mammogram Images

机译:基于鲶鱼PSO的增强数字乳房图像图像

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摘要

ZJn medical field, breast cancer detection at early stage is a cumbersome task. As a first step, the images have to be enhanced, which is the most crucial pre-processing step. Many methods that exist today for image enhancement are based on histogram of the image. In this paper, we propose a novel Catfish Particle swarm Optimization (PSO) algorithm based image enhancement techniques used for image enhancement that can be used for breast cancer image enhancement or mammography enhancement. The results are compared with Classical Histogram Equalization (HE) technique and Particle swarm Optimization (PSO) algorithm. The result proves the superiority of the proposed technique.
机译:ZJN医学领域,早期乳腺癌检测是一个麻烦的任务。 作为第一步,必须增强图像,这是最重要的预处理步骤。 目前用于图像增强的许多方法基于图像的直方图。 在本文中,我们提出了一种新的鲶鱼粒子群优化(PSO)算法用于图像增强技术,其可用于乳腺癌图像增强或乳房X线摄影增强。 将结果与经典直方图均衡(HE)技术和粒子群优化(PSO)算法进行比较。 结果证明了所提出的技术的优势。

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