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.