基于自适应免疫因子的模糊检务文字提取

为了实现准确、高效地从模糊的检务图像中提取文字目标,本文针对多种不同类型的模糊检务图像,基于人工免疫原理,利用免疫因子的相关理念结合自适应滤波算法提出一种自适应免疫算法.该算法首先通过动态地改变滤波窗口实现自适应滤波,达到兼顾保留文字目标细节和滤除噪声的效果,再根据模糊类型的不同设计不同的免疫因子,从而实现最大程度地保...

Text extraction from fuzzy inspection image based on adaptive immune factor

In order to achieve accurate and efficient extraction of text object fr om fuzzy inspection image.In this paper,aiming at various types of fuzzy inspection ima ges,an adaptive immune algorithm is proposed based on the principle of artificial immun e and the concept of immune factors combined with adaptive filtering algorithm.The new al gorithm proposed in this paper first realizes adaptive filtering by changing the filter window dynamically,which not only preserves the details of the target text,but also f ilters out the noise.After that,we design different immune factors according to different typ es of fuzziness, so as to ensure the integrity and accuracy of the extracted text object to the g reatest extent. The experimental results show that the proposed new algorithm is more effective when dealing with the same type of blurred inspection images,the true positive rate (TPR) date of the new algorithm is better than other traditional target extraction algorithms. Moreover,the false positive rate of the new algorithm is better than that of other false posi tive rate (FPR) data.Through the analysis of each evaluation index,it shows that the algorithm in this paper is feasible and accurate in the text extraction of fuzzy inspection image.