Method for distinguishing male and female cotton bollworm adults based on computer vision technology

The invention discloses a method for distinguishing female and male adults of cotton bollworm based on computer vision technology, after pre-processing the collected images of cotton bollworm of different sexes, the images with feet and antennae removed are obtained, and the color, shape and texture of the images are extracted respectively. The simulated annealing algorithm is used to optimize thedimensionality reduction process. The obtained feature data is trained and tested by the support vector machine classifier, and finally the automatic classification and recognition are realized. Theinvention has the advantages of simple operation, strong robustness and high identification accuracy, and has ideal time performance, and can remarkably improve the identification efficiency of insectsex classification. 本发明公开了种基于计算机视觉技术的棉铃虫雌雄成虫判别方法，对采集的不同性别的棉铃虫进行预处理后，得到其去除足、触角后的虫体图像，对图像分别提取其颜色、形状、纹理等特征,利用模拟退火算法进行优化降维处理，对得到的特征数据，采用支持向量机分类器进行训练测试，最终实现自动分类识别；本发明具有操作简便、鲁棒性强和识别精度高等优点，并有理想的时间性能，可以显著提高昆虫性别分类的鉴定效率。