A recognition method of "cat-eye" effect target based on texture character

In order to overcome the low recognition rate of "cat-eye" effect target and ineffective distinction of car lights and telescopic sights, a recognition method of "cat-eye" effect target based on texture character was proposed. Firstly, car lights were removed by filtering the difference images with the column-mean -subtraction, EHPF and median filter. Secondly, the discrimination was carried out in terms of the features of the shape of the "cat-eye" effect target. Finally, according to the texture features of the "cat-eye" effect target, membership vectors were constructed, and the fuzzy comprehensive evaluation was used to recognize the "cat-eye" effect target under the maximum membership degree principle. Experimental results indicate that the proposed method reduces false alarm rate and improves recognition rate compared with the shape-frequency dual criterions (SFDC) method.