Research On Algorithm For Infrared Image Processing

With the fast development of the infrared technology, infrared monitor system is widely used in civil and military fields. Because of the limitations of infrared monitor and the affection of the environment, the quality of infrared imaging is not such satisfactory. In practical application, image enhancement technology is benefit to view of the obtained image. Meanwhile, undistinguished target can be confirmed by detection and segmentation, providing foundations for the following identification and intelligent control.Firstly, infrared imaging mechanism is introduced. Based on analyzing the characteristics of infrared image, some classic infrared image enhancing algorithms are compared. According to such characteristics as blurred image and high noise, a new algorithm combining platform histogram equalization with enhanced high-pass filtering is proposed. The results show that the algorithm can enhance the object and restrain noise of infrared image, achieving better visual effect.The segmentation of infrared image is a part in infrared image processing. Edge detection and Otsu is studied in depth based on the analyzing of some segmentation methods. To solve the shortcomings of edge detection and Otsu, a new segmentation algorithm is proposed in this paper. In this algorithm, edge detection and image segment are performed by Sobel operators and improved Otsu, respectively. Experimental results show that the contour of the segmented image is clear; the characteristic of the edge detail is evident. The algorithm is benefit to infrared image feature extraction and target recognition.