Research On Technologies Of Infrared Image Target Recognition

As the rapid development of computer technology, infrared image pattern recognition technology based on image processing gets more attentions and broad applications. Target recognition based on infrared CCD comera capturing imagines of the targets is a basic task of the image target recognition. Image preprocessing, feature extraction and classifiers design are most important technologies of image target recognition.Preprocessing is the first step of image target recognition, which has three parties: noise reduction, image enhancement and image segment. In this thesis, the compositive filter method is applied to image filter, Laplace transformation and Butterworth high-pass method are applied to the image enhancement, and Otsu method and Iterative method are applied to the image segment. The preprocess results of these methods are effective.The main mission of feature extraction is obtaining the mathematic features with high divisibility and stability. On the basis of the characteristics of infrared CCD comera, of the target's shape, of the imagine quadrature and of the SVD transformation, these feature extraction methods are discussed. Firstly, geometry parameter fearures are extracted by means of designing the minimal rect of the target and choicing fit algorithm of edge detection. Secondly, several taeget's scope shape features are extracted according to the second-order moment. Thirdly, SVD transformation features from target are extracted and some improvement is done according to the existing problem. Finally, these three feature extracting methods are proved effective through relevant experiments.Classification-recognition is final step of image target recognition, so the prominent classifier and algorithms are key steps for classification. In this thesis, the least distance method and Bayes based on least of the rates about mistakes are designed, which are proved effective for targets'classification. All methods of preprocessing, of feature extraction and of classier mentioned in this thesis are simulated, and were proved feasibily.