计算机应用与软件Issue(4)：250-253,4.
树突状细胞算法在图像分类中的应用
APPLICATION OF DENDRITIC CELL ALGORITHM IN IMAGE CLASSIFICATION
摘要
Abstract
Since traditional dendritic cell algorithm has massive random parameters which results in the difficulty of assessment and analysis on the effectiveness of the algorithm,we propose a modified dendritic cell algorithm used for image classification.It defines the antigen and classifies the elements in light of the colour and textural features of images,and clusters the objectives according to the degree of antigen’s risk.More accurate anomaly intensity index is designed.It also simplifies the input signals and optimises the processing procedure, thus can achieve faster convergence speed and more stable recognition performance.Experimental result shows that this algorithm is able to improve the recognition rate of image and the stability in recognition process,and reduces the running time of the algorithm as well.关键词
人工免疫系统/危险理论/树突状细胞算法/图像分类Key words
Artificial immune system/Danger theory/Dendritic cell algorithm/Image classification分类
信息技术与安全科学引用本文复制引用
常文萃,秦振吉..树突状细胞算法在图像分类中的应用[J].计算机应用与软件,2014,(4):250-253,4.
