Computer Engineering and Applications ›› 2007, Vol. 43 ›› Issue (12): 66-68.
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吴锡生 王宇辉 王士同
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Abstract: A method to improve the competence of fuzzy morphological associative memories against random noise is presented, through the decomposition of gray-scale images, combining the method of fuzzy morphological associative memories. With the method, the auto-association and recognition of gray-scale images with random noise is settled. Meanwhile, this method has been extended to the settlement of the case of color image. Accordingly, a better way to resume gray-scale images and color images with noise is offered. Our experimental results here demonstrate the effectiveness of this approach.
摘要: 利用灰度图像分解的思想,结合模糊形态联想记忆网络的方法,提高了模糊形态联想记忆网络对随机噪声的抗噪能力。成功地解决了灰度图像在含有随机噪声时的模糊联想记忆问题,并把该方法推广到对彩色图像的处理,从而给出了一种较好地恢复含噪灰度图像和彩色图像的途径。通过实验,验证了该方法的良好性能,取得了较理想的结果。
吴锡生 王宇辉 王士同. 模糊形态联想记忆网络抗随机噪声研究及应用[J]. 计算机工程与应用, 2007, 43(12): 66-68.
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http://cea.ceaj.org/EN/Y2007/V43/I12/66